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Pay up to £38,772 , plus 28.9% employer pension contributions, hybrid working with 60% home working, flexible hours, and great work life balance. Would you like to kickstart a career in data and technology while gaining a recognised qualification in a supportive, diverse environment? DWP. Digital with Purpose. We're offering a fantastic opportunity to join our Level 5 Data Engineering Apprenticeship Programme , a two-year journey where you'll earn while you learn, gaining hands-on experience in one of the UK's largest and most impactful digital organisations. At DWP Digital, we design and build the technology behind vital services like Universal Credit, pensions, and child maintenance. Our data engineers play a key role in making sure these services are powered by reliable, high-quality data, helping teams make better decisions and improving outcomes for millions of people. As an apprentice, you'll join our Data Platforms and Operations team , working with cloud technologies like AWS and tools such as Informatica. You'll learn how to build and maintain data pipelines, support platform migrations, and help deliver data products that are secure, efficient, and user-focused. You'll be supported every step of the way by your line manager, skills coach, and the wider data community. You'll also get 20% of your working time dedicated to studying for your qualification, blending practical experience with structured learning. We're looking for people who are curious, determined, and eager to learn. You'll need to be comfortable working with numbers and logic, enjoy solving problems, and be ready to take on new challenges. Good communication and time management skills are essential, and you'll be part of a collaborative team that values openness and innovation. What do you need to apply? You'll need one of the following: Two A levels in a relevant subject (e.g. Computer Science, IT, Maths, Data Engineering, Analytics, Statistics) A Level 3 apprenticeship or qualification in a similar subject BTEC Extended Diploma or International Baccalaureate in a relevant field Experience with programming languages such as Python Equivalent work experience in a data-related role Please note: You must not already hold a qualification at the same or higher level in a similar subject. You'll also need to work a minimum of 30 hours per week and pass Security Check clearance. Details. Wages. Perks. Learn as you earn. Starting salary of £38,772 per annum. We offer 24 days holiday, rising to 26 after 1 year, in addition to 9 bank holidays. We are a hybrid working organisation, so you can expect to be in the office some of the time and working from home for the rest. Additionally, you can take up to 3 extra days per month using flexi time. We also have a broad benefits package built around your work-life balance which includes: Flexible working, flexi hours and flexi days Hybrid working: some time in a hub with the team, some time at home Family-friendly policies Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket Sports and social activities Working in an award-winning environment and culture Professional development, coaching, mentoring and career progression opportunities. CLICK APPLY for more information and to start your application.

Contexte Dans le cadre d’une fusion, le département IS Data & Middleware a fortement grandi et élargi son portefeuille d’applications. Il met en place une nouvelle couche analytique, s’appuyant sur Databricks pour permettre une amélioration continue de nos opérations et processus. L’objectif de l’équipe Data & Middleware est de tirer parti des outils middleware et analytiques pour produire des données de haute qualité afin de stimuler l’innovation et l’amélioration du business de l’entreprise grâce à l’exploitation des données. Systèmes de données : couvrent tous les systèmes alimentant les plateformes analytiques et les plateformes de données de l’entreprise. Systèmes middleware : couvrent les connecteurs sur mesure et les services backend communs qui distribuent les données entre les applications. Ces intégrations alimentent les systèmes de production gérés par d’autres départements (IS Sales, IS Operations, IS Customer Systems, IS Corporate Systems). Objectif de la mission En tant qu’ Ingénieur Data Senior , vous serez à l’avant-garde de la construction des bases de notre plateforme de données et de nos produits data. Vous collaborerez avec une équipe dynamique composée d’analystes métiers, de chefs de projet, de développeurs et d’autres ingénieurs au sein du département et dans l’ensemble de l’entreprise 🚀. Nous menons une transformation passionnante : moderniser de nombreuses applications héritées en adoptant une architecture Event Sourcing moderne, afin de produire des données de haute qualité exploitées par une plateforme data solide et flexible. L’objectif est de fournir la bonne donnée, à la bonne personne, au bon moment . Nous mettons en place une approche Platform Engineering pour donner aux utilisateurs finaux les moyens de tirer pleinement parti des données afin d’atteindre et dépasser leurs objectifs. Vous serez un pilier dans la construction d’une culture d’équipe qui équilibre excellence technique, autonomie et responsabilité . Nous aspirons à combiner l’impact que vous pouvez avoir dans une startup avec les moyens d’un grand groupe. C’est une opportunité unique d’avoir un impact décisif sur la plateforme de l’entreprise Data & Middleware et d’en façonner l’avenir technique. Responsabilités et missions Ingénierie de haute qualité : Créer, gérer et exploiter des pipelines de données selon les plus hauts standards, résoudre les problèmes complexes, améliorer les standards techniques de l’équipe et encadrer les ingénieurs data juniors pour de meilleures pratiques de développement. Architecture des systèmes de données : Concevoir, développer, tester et maintenir des architectures data évolutives (bases de données, systèmes de traitement à grande échelle), avec une attention particulière à la performance, la fiabilité et l’optimisation des coûts. Conception de la plateforme data : Concevoir une plateforme capable de supporter l’Event Sourcing et les data products. Accompagner le transfert des responsabilités vers des équipes fonctionnelles autonomes au fur et à mesure que la culture data se développe dans l’entreprise. Modélisation des données : Aider les équipes data et métiers à modéliser et structurer efficacement les données dans la plateforme pour optimiser clarté, intégrité et efficacité. Gestion du temps : Collaborer avec le manager engineering pour organiser, prioriser les tâches/projets, gérer le backlog technique et aligner les livrables avec les objectifs business. Cycle de vie des projets : Participer activement à toutes les étapes (planification, développement, livraison, exploitation) des solutions d’ingénierie data. Sécurité : Garantir la protection des données clients en appliquant les meilleures pratiques de sécurité et de confidentialité.

À ce poste, vous serez une référence technique dans le domaine du Big Data, aussi bien vis-à-vis des clients pour lesquels vous interviendrez, que de l'équipe de réalisation à laquelle vous appartiendrez. Vos missions : Participer aux processus d'avant-vente et à l'élaboration des propositions commerciales ; Diriger la conception et la mise en oeuvre de projets Big Data ; Concevoir et développer des solutions de traitement de données massives (Hadoop, Spark, Kafka, Python, Scala, Hive...) ; Mettre en place des pipelines de traitement de données ETL et assurer la qualité des données (NiFi, Talend, Airflow, SQL...) ; Assurer la gestion et l'optimisation des bases de données distribuées et NoSQL (Cassandra, MongoDB, ElasticSearch...). Plus largement, vous pourrez?enrichir nos bonnes pratiques en matière d'architecture et de développement dans le domaine du Big Data, effectuer de la veille technologique, élaborer des supports de formation technique pour nos clients et nos consultants, ou encore contribuer à l'animation du pôle technique

Nous constituons un vivier de freelances spécialisés en data engineering pour anticiper les besoins de nos clients sur des projets Big Data et Cloud. Nous recherchons des Data Engineers expérimentés sur Spark et Scala, capables d’intervenir rapidement sur des missions à Nantes et Rennes, dans des contextes variés (banque/assurance, industrie, retail, services). En tant que Data Engineer Spark / Scala, vos missions pourront inclure : Conception et développement de pipelines de données : ingestion, transformation, nettoyage et enrichissement de données massives. Développement d’applications distribuées avec Apache Spark (Batch et Streaming) en Scala. Industrialisation des traitements Big Data : optimisation des performances, gestion des volumes importants, parallélisation. Mise en place d’architectures data : Data Lake, Data Warehouse, solutions temps réel. Intégration Cloud : déploiement et utilisation des services Big Data sur AWS, Azure ou GCP (EMR, Databricks, Synapse, BigQuery, etc.). Tests, qualité et fiabilité : mise en place de bonnes pratiques de développement (CI/CD, tests unitaires et fonctionnels). Sécurité et conformité : respect des normes RGPD et bonnes pratiques de gouvernance des données. Documentation et partage : rédaction des spécifications techniques, bonnes pratiques et transmission de compétences aux équipes internes. Collaboration transverse : travail étroit avec les Data Scientists, Data Analysts, Product Owners et Architectes pour répondre aux besoins métiers.

Bonjour, Dans le cadre de ses projets clients, Visian est à la recherche d'un Data Engineer Pyspark/AWS Missions: Concevoir, développer et optimiser des pipelines de données robustes, performants et scalables. Encadrer et apporter une expertise technique sur les choix d’architecture et de stack. Déployer et orchestrer des traitements distribués (PySpark, Glue). Concevoir et exposer des APIs de données. Industrialiser et automatiser les environnements via Terraform et des pipelines CI/CD. Garantir la fiabilité, la performance et la sécurité des flux et services de données en production. Collaborer avec les équipes Produit, Data et Développement pour intégrer les besoins métiers dans les solutions. Partager les bonnes pratiques et contribuer à la montée en compétences de l’équipe. Si vous êtes actuellement à l'écoute du marché, je vous invite à m'envoyer votre candidature. Bien à vous, Nadia

Nous recherchons un(e) data engineer capable de trouver des solutions innovantes et robustes à l'ensemble des problématiques Data. Vous aurez la charge de : • Participer à la conception et réalisation d'une solution Data depuis l'acquisition jusqu'à l'exploitation de la donnée en accompagnant la réflexion des directions métiers • Identifier, collecter et intégrer les données nécessaires à la résolution de problématiques métier et opérationnelles • Garantir la qualité des données en mettant en place les outils de mesure et de suivi adéquats en appliquant les règles de Data Gouvernance et de Data Management • Transcrire des besoins métier en règles de gestion data • Industrialiser le déploiement de vos réalisations à travers l'implémentation de tests unitaires, d'intégration et de non-régression Référence de l'offre : h29h4jf5dv

Pay up to £38,772 , plus 28.9% employer pension contributions, hybrid working with 60% home working, flexible hours, and great work life balance. Would you like to kickstart a career in data and technology while gaining a recognised qualification in a supportive, diverse environment? DWP. Digital with Purpose. We're offering a fantastic opportunity to join our Level 5 Data Engineering Apprenticeship Programme , a two-year journey where you'll earn while you learn, gaining hands-on experience in one of the UK's largest and most impactful digital organisations. At DWP Digital, we design and build the technology behind vital services like Universal Credit, pensions, and child maintenance. Our data engineers play a key role in making sure these services are powered by reliable, high-quality data, helping teams make better decisions and improving outcomes for millions of people. As an apprentice, you'll join our Data Platforms and Operations team , working with cloud technologies like AWS and tools such as Informatica. You'll learn how to build and maintain data pipelines, support platform migrations, and help deliver data products that are secure, efficient, and user-focused. You'll be supported every step of the way by your line manager, skills coach, and the wider data community. You'll also get 20% of your working time dedicated to studying for your qualification, blending practical experience with structured learning. We're looking for people who are curious, determined, and eager to learn. You'll need to be comfortable working with numbers and logic, enjoy solving problems, and be ready to take on new challenges. Good communication and time management skills are essential, and you'll be part of a collaborative team that values openness and innovation. What do you need to apply? You'll need one of the following: Two A levels in a relevant subject (e.g. Computer Science, IT, Maths, Data Engineering, Analytics, Statistics) A Level 3 apprenticeship or qualification in a similar subject BTEC Extended Diploma or International Baccalaureate in a relevant field Experience with programming languages such as Python Equivalent work experience in a data-related role Please note: You must not already hold a qualification at the same or higher level in a similar subject. You'll also need to work a minimum of 30 hours per week and pass Security Check clearance. Details. Wages. Perks. Learn as you earn. Starting salary of £38,772 per annum. We offer 24 days holiday, rising to 26 after 1 year, in addition to 9 bank holidays. We are a hybrid working organisation, so you can expect to be in the office some of the time and working from home for the rest. Additionally, you can take up to 3 extra days per month using flexi time. We also have a broad benefits package built around your work-life balance which includes: Flexible working, flexi hours and flexi days Hybrid working: some time in a hub with the team, some time at home Family-friendly policies Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket Sports and social activities Working in an award-winning environment and culture Professional development, coaching, mentoring and career progression opportunities. CLICK APPLY for more information and to start your application.

Contexte Dans le cadre de la mise en place et de l’évolution d’une plateforme DATA centralisée, nous renforcons son équipe avec un Data Ingénieur confirmé. Cette plateforme permet l’intégration, la mise en qualité et la mise à disposition de données brutes ou retravaillées issues de différents producteurs, afin de répondre à des besoins métiers opérationnels et analytiques à grande échelle. Rôle et responsabilités Développement et ingestion de données Concevoir, développer et optimiser des jobs d’ingestion et de transformation de données en Python et Spark sur Databricks , avec gestion de gros volumes. Mettre en place et maintenir des flux de données entre sources externes (ex. bases Oracle) et Delta Lake sur AWS S3 . Orchestration et supervision Créer et orchestrer des workflows avec AWS Airflow et automatiser les traitements. Mettre en place des mécanismes de contrôle qualité et de validation des données pour garantir cohérence et fiabilité. Développer des jobs de monitoring pour détecter et corriger automatiquement les anomalies. Maintien en condition opérationnelle Assurer la disponibilité et la performance des jobs en production. Analyser et corriger les incidents et anomalies détectées. Contribution stratégique Participer aux ateliers de conception technique et fonctionnelle. Promouvoir les bonnes pratiques de développement et d’optimisation Big Data. Documenter les processus, architectures et scripts. Compétences techniques requises MUST : Python Spark Databricks SQL SHOULD : AWS (S3, Glue, Airflow, CloudWatch, Lambda, IAM) COULD : Big Data (gestion et traitement de très gros volumes de données) WOULD : Git Méthodologies et outils : CI/CD avec GitLab JIRA / Confluence Méthodologie agile Scrum

Almatek recherche pour l'un de ses clients, un Data Engineer sur Lille. Missions: Poursuivre / Finaliser le développement d'une infrastructure de gestion de données (collecte, stockage, traitement) sur AWS, incluant la sécurité de l'infrastructure et des données. Services AWS utilisés : S3, Lambda, Glue. Développement Infra as Code avec CDK et Transcript. Stockage des codes sur GitHub Enterprise. Déploiement avec GitHub Action. Maitriser la manipulation de données n'est pas la compétence la plus critique => donc bien maitriser le coté AWS, mais pas forcément sur Data. Data Engineer ou Cloud Engineer, compétences AWS, DevOps, Python

Bonjour, Pour le compte de notre client, nous recherchons un data engineer SPARK / SCALA / SBT / CUBE TABULAIRE / AZURE / DATABRICKS Au sein de l'équipe data / BI, vous interviendrez sur des projets stratégiques liés à la gestion, la transformation et la valorisation de la donnée. L’objectif de la mission est d’accompagner la Direction Financière à sortir d’Excel et aller vers Power BI. Pour cela, le data eng travaillera en binôme avec un PO pour comprendre l’existant et réaliser cette bascule. Vous aurez un rôle clé dans le développement, l'optimisation et la modélisation de traitements data complexes, avec un focus particulier sur la mise en place et la maintenance de cube tabulaires. Développement et intégration Optimisation Modélisation des données Recueil et analyse des besoins Documentation et support.

Data Engineer with C# Dot Net asp.net with SQL Server SSIS SSRS Our Client is a bank based in Central London who are looking to recruit at least 7 years plus experience as a Data Engineer with the ability to work with C# Dot net and SQL Server with SSIS. You must have solid expertise of at least 7 years experience of working with and developing software with C# Dot Net and MS SQL Server and SSIS, SSRS and SSAS – SSIS is very important for this position. Must be an excellent problem solver and adept writing documentation for all projects. You ideally have worked on banking systems particularly Core Banking. Responsible for the development and delivery of new systems to automate and streamline processes required by different departments. To support the internal IT department with changes and upgrades to software platforms. To be primary contact for all technical questions relating to in-house bespoke systems and interfacing. Analysis of issues pertaining to problems or errors raised by in-house systems, i.e. CORE, SharePoint interface, Equation, Kondor, Eximbills, end of day cycle. Support Supporting budgeting and financial planning processes for Finance department, including loading and refreshing of data based on requirements. Understand and conduct the front-end functionality to amend and change hierarchical structures within the environment. Build data flows within the SQL environment in SSIS and SSAS packages. Integrate the SharePoint environment and Forms with Equation system to introduce automation of processes thereby eliminating the need for duplicate entry. Utilise web services to integrate from cutting edge technology into legacy systems such as Equation. Integrate with all the systems using data abstraction and connectivity layers, i.e. ODBC, ADO.net. Duties Maintain knowledge of all applicable regulatory requirements including the Bank’s Risk and Compliance policies and procedures and adhere to these to avoid exposing the Bank to undue risk. Report policy/procedure breaches and areas of potential non-compliance and suspicions promptly upon identification in accordance with the Bank's Risk and Compliance policies. Accurately execute all controls within own area to minimise risk of policy, procedure, and/or regulatory breaches. Identify new risks/control gaps within own area and escalate accordingly to your Line Manager. Must Have Skills Software analysis and design. SQL Server query language with SSIS. Data warehouse design concepts, (Inmon or Kimball) Experience of developing software with C# Dot Net and asp.net and SQL Server is a must. Must have solid experience of working with SSIS and building data warehouses. The Client is a Bank based in the Central London. Must have a degree qualification. This is a 12 month FTC position with a salary of circa £55K - £70K. This is a hybrid position - you will be required to be in the office at least 3 days week. Do send your CV to us in Word format along with your salary and availability.

Pay up to £38,772 , plus 28.9% employer pension contributions, hybrid working with 60% home working, flexible hours, and great work life balance. Would you like to kickstart a career in data and technology while gaining a recognised qualification in a supportive, diverse environment? DWP. Digital with Purpose. We're offering a fantastic opportunity to join our Level 5 Data Engineering Apprenticeship Programme , a two-year journey where you'll earn while you learn, gaining hands-on experience in one of the UK's largest and most impactful digital organisations. At DWP Digital, we design and build the technology behind vital services like Universal Credit, pensions, and child maintenance. Our data engineers play a key role in making sure these services are powered by reliable, high-quality data, helping teams make better decisions and improving outcomes for millions of people. As an apprentice, you'll join our Data Platforms and Operations team , working with cloud technologies like AWS and tools such as Informatica. You'll learn how to build and maintain data pipelines, support platform migrations, and help deliver data products that are secure, efficient, and user-focused. You'll be supported every step of the way by your line manager, skills coach, and the wider data community. You'll also get 20% of your working time dedicated to studying for your qualification, blending practical experience with structured learning. We're looking for people who are curious, determined, and eager to learn. You'll need to be comfortable working with numbers and logic, enjoy solving problems, and be ready to take on new challenges. Good communication and time management skills are essential, and you'll be part of a collaborative team that values openness and innovation. What do you need to apply? You'll need one of the following: Two A levels in a relevant subject (e.g. Computer Science, IT, Maths, Data Engineering, Analytics, Statistics) A Level 3 apprenticeship or qualification in a similar subject BTEC Extended Diploma or International Baccalaureate in a relevant field Experience with programming languages such as Python Equivalent work experience in a data-related role Please note: You must not already hold a qualification at the same or higher level in a similar subject. You'll also need to work a minimum of 30 hours per week and pass Security Check clearance. Details. Wages. Perks. Learn as you earn. Starting salary of £38,772 per annum. We offer 24 days holiday, rising to 26 after 1 year, in addition to 9 bank holidays. We are a hybrid working organisation, so you can expect to be in the office some of the time and working from home for the rest. Additionally, you can take up to 3 extra days per month using flexi time. We also have a broad benefits package built around your work-life balance which includes: Flexible working, flexi hours and flexi days Hybrid working: some time in a hub with the team, some time at home Family-friendly policies Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket Sports and social activities Working in an award-winning environment and culture Professional development, coaching, mentoring and career progression opportunities. CLICK APPLY for more information and to start your application.

Pay up to £38,772 , plus 28.9% employer pension contributions, hybrid working with 60% home working, flexible hours, and great work life balance. Would you like to kickstart a career in data and technology while gaining a recognised qualification in a supportive, diverse environment? DWP. Digital with Purpose. We're offering a fantastic opportunity to join our Level 5 Data Engineering Apprenticeship Programme , a two-year journey where you'll earn while you learn, gaining hands-on experience in one of the UK's largest and most impactful digital organisations. At DWP Digital, we design and build the technology behind vital services like Universal Credit, pensions, and child maintenance. Our data engineers play a key role in making sure these services are powered by reliable, high-quality data, helping teams make better decisions and improving outcomes for millions of people. As an apprentice, you'll join our Data Platforms and Operations team , working with cloud technologies like AWS and tools such as Informatica. You'll learn how to build and maintain data pipelines, support platform migrations, and help deliver data products that are secure, efficient, and user-focused. You'll be supported every step of the way by your line manager, skills coach, and the wider data community. You'll also get 20% of your working time dedicated to studying for your qualification, blending practical experience with structured learning. We're looking for people who are curious, determined, and eager to learn. You'll need to be comfortable working with numbers and logic, enjoy solving problems, and be ready to take on new challenges. Good communication and time management skills are essential, and you'll be part of a collaborative team that values openness and innovation. What do you need to apply? You'll need one of the following: Two A levels in a relevant subject (e.g. Computer Science, IT, Maths, Data Engineering, Analytics, Statistics) A Level 3 apprenticeship or qualification in a similar subject BTEC Extended Diploma or International Baccalaureate in a relevant field Experience with programming languages such as Python Equivalent work experience in a data-related role Please note: You must not already hold a qualification at the same or higher level in a similar subject. You'll also need to work a minimum of 30 hours per week and pass Security Check clearance. Details. Wages. Perks. Learn as you earn. Starting salary of £38,772 per annum. We offer 24 days holiday, rising to 26 after 1 year, in addition to 9 bank holidays. We are a hybrid working organisation, so you can expect to be in the office some of the time and working from home for the rest. Additionally, you can take up to 3 extra days per month using flexi time. We also have a broad benefits package built around your work-life balance which includes: Flexible working, flexi hours and flexi days Hybrid working: some time in a hub with the team, some time at home Family-friendly policies Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket Sports and social activities Working in an award-winning environment and culture Professional development, coaching, mentoring and career progression opportunities. CLICK APPLY for more information and to start your application.

Nous recherchons un(e) Data Engineer Senior AWS pour l'un de nos clients grand compte. La mission contribue dans la mise en place des Core Enablers / Frameworks & Applications communs aux 3 pays. - Mettre en place les flux de données entre les systèmes sources et cibles - Utiliser les services AWS pour la transformation et l’orchestration (Glue, Step Functions, Lambda…) - Superviser le delivery technique des composants applicatifs - Assurer la qualité des données et la traçabilité des échanges - Encadrer les développeurs et analystes dans la mise en œuvre des solutions data Compétences requises : AWS Cloud (Glue, Step Functions, Lambda, etc) Intégration des données & Monitoring de flux DevOps (Git, Azure Devops, …) Scripting Python Services de traitements et d'orchestration

Contexte de la mission : Dans le cadre d'un Centre de Services pour un acteur majeur du secteur médical, notre client développe des solutions logicielles au service de dispositifs médicaux innovants. La mission s'inscrit dans un environnement dynamique, centré sur l'ingénierie de la donnée et l'amélioration continue des processus métier via l'analyse, le traitement et la valorisation des données. Le poste implique une présence régulière sur site, situé à l'ouest de Lyon, à raison de 2 à 3 jours par semaine. Responsabilités : Participer à la conception et à la mise en oeuvre de solutions de gestion de données, en lien direct avec les équipes projet internes et les équipes métier du client .Intervenir sur l'ensemble de la chaîne de traitement de la donnée, avec un fort accent sur la qualité, la performance et la pertinence métier des livrables ;Jouer un rôle de référent technique, accompagnant les utilisateurs à travers des sessions de formation et de mentoring sur les outils déployés.

Vous êtes un Data Engineer expérimenté avec de solides connaissances d'Azure ? emagine a une opportunité pour vous d'aider à l'intégration de SAP BW et SAP BFC dans une plateforme de données moderne basée sur Azure, permettant l'analyse financière prédictive grâce à l'IA. Are you an experienced Data Engineer with strong Azure? emagine has an opportunity for you to assist in the integration of SAP BW and SAP BFC into a modern Azure-based data platform, enabling predictive financial analytics through AI. Expected Skills: Experience: Over 7 years of experience in Data Engineering including working in an international environment. Essential: Azure Functions, Apache Kafka, Python Strong Plus: SAP BW, SAP BFC, Internal Finance Nice to Have: MS Fabric, AI integration experience Language: English – Fully fluent Key Tasks & Deliverables: Design and implement robust data pipelines between SAP BW, SAP BFC, and Azure. Ensure data integrity, security, and real-time processing capabilities. Enable seamless data consumption by AI models for KPI prediction. Provide documentation and training for long-term support and maintenance. Apply with your latest CV or reach out to Brendan to find out more.