Find your next tech and IT Job or contract Data quality

Data Migration Analyst Our Client is looking to recruit a seasoned Data Migration Analyst with excellent Data Analyst skills - at least 3 to 5 years experience as a Data Analyst. Provide support to the data migration Lead in the data migration of legacy data into NetSuite edERP in accordance with the project plan Review the legacy data to identify data quality issues Review non-legacy data for data quality & resolve issues Liaison with the schools throughout the data preparation stages Perform data extractions from the legacy system into Excel Review the legacy data to identify data quality issues such as; o missing mandatory fields o data not coherent & correctly cross-referenced o data not valid i.e. formatted correctly, consistent with NetSuite requirements o potential functional shortfalls of NetSuite Co-ordinate with Users to resolve issues identified with the quality of the data. Co-ordinate with Users in the preparation of other data that are not in the legacy system that is required for NetSuite, such as; o email addresses o third party payers o fees, discounts & academic calendar o pricing master header & lines o NetSuite contracts Review non-legacy data for data quality & resolve issues with users, where necessary obtaining acceptance from the project team and/or the Business. To comply with safeguarding policies, procedures and code of conduct and demonstrate a personal commitment to safeguarding and student/colleague wellbeing. Ensure that any safeguarding concerns or incidents are reported appropriately in line with policy and engage in safeguarding training when required. Must have at least 3 to 5 years experience of data analysing and/or cleansing and at least 3+ years experience of systems implementation. Have experience of extraction & cleansing of legacy data. Being involved in at least 2 major Data migration projects. Should have strong Excel user skills along with data migration ETL methodology. Must have excellent interpersonal skills. English as primary language. " T-SQL " Excel VBA " Accounting ETL Methodology The Client is based in Milton Keynes various offices across the UK. The role will based remotely at present with the need to attend the office as and when required. The rate for this role will be circa £300 to £400 per day. The duration for this contract assignment will be 6 months. Please send your CV to us in Word format along with your daily rate and availability.

About the role As a Senior Data Architect, you’ll play a critical role in shaping how data is structured, governed, and used across the agency. You’ll help unlock the full value of data, ensuring it is accessible, reliable, and supports better decision-making across DVSA. Working closely with senior leaders and multidisciplinary teams, you’ll influence the way data is managed across the organisation and help build strong foundations for the future. What you’ll be doing Defining data architecture frameworks, standards, and best practices across DVSA Designing and developing a data catalogue to improve visibility and access to data Translating business needs into clear data requirements and data flows Supporting the development of DVSA’s data strategy and roadmap Driving improvements in data quality, measurement, and governance Collaborating with architects and technical teams to deliver joined-up solutions Identifying key data assets and ensuring they are fit for purpose and usable

Home Office Digital designs and runs services that support millions of visa and passport applications , border checks, and policing checks each year. As a Principal Data Engineer , you’ll lead multi-functional teams to deliver robust data services, helping unlock value from data and deliver better outcomes for the UK. What you’ll be doing You’ll provide technical direction and leadership within the Oracle Enterprise Performance Management (EPM) Data Platform team, shaping high-quality data products and services. This includes: Setting and driving the EPM data strategy and roadmap , including governance and best practice Leading delivery of data integrations and data flows across Oracle EPM and connected systems (e.g., ERP/HCM, data warehouses, analytics platforms) Ensuring data services support planning, forecasting, financial and HR reporting outcomes Improving reliability and performance by automating BAU processes and strengthening data quality end-to-end Working across teams (product, solution/data architects, DBAs) to define standards and enforce patterns across the Oracle EPM landscape Coaching and mentoring others to build capability across the data engineering community

Data Engineer Harrogate - 1 Day a week on-site £60,000 - £70,000 + Private Healthcare + Training Are you a Data Engineer looking to play a key role in building and evolving a modern cloud data platform that underpins reporting, insight, and future AI initiatives across a large, complex organisation? This is an opportunity to join a central Group Data Team delivering a cloud-based Lakehouse platform, working with batch, micro-batch and streaming data pipelines. You will be responsible for designing, building, and supporting scalable data solutions that enable trusted analytics and decision-making across the business. Working closely with data analysts, infrastructure teams, and software developers, you will translate architectural designs into robust, production-ready pipelines. You will contribute to data modelling, quality, and governance while helping to mature the data platform and its supporting processes. This role suits a technically strong Data Engineer who enjoys collaborating with stakeholders, producing high-quality documentation, and working across the full data lifecycle in a cloud-first environment. The Role: Design and implement ETL and ELT data pipelines using cloud-native tools Develop and maintain data models and curated data products in Snowflake Build and support batch, micro-batch, and streaming pipelines Collaborate with infrastructure and development teams to deliver optimised solutions Maintain metadata, data quality standards, and platform documentation The Person: Experience building data pipelines using tools such as AWS Glue, FiveTran, and DBT Strong SQL and Python skills with hands-on Snowflake experience Solid understanding of modern cloud data architectures and Lakehouse concepts Familiarity with AWS services including S3, Glue, Athena, RDS, and EMR Confident communicator able to work with both technical and non-technical stakeholders Reference Number: BBBH274221 Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client. We are an equal opportunities company and welcome applications from all suitable candidates.

At the Office for National Statistics (ONS), your work will help produce the statistics that shape decisions across government and inform the nation. From inflation to GDP, you’ll turn complex data into meaningful insights, helping decision-makers understand what’s happening in the UK economy and what comes next. About the role As a Data Analyst , you’ll support the delivery of the Economic Statistics Plan, a major programme focused on strengthening the quality and trust in UK economic statistics. You’ll work with large, complex datasets to produce high-quality analysis and insight. This is a hands-on role where you’ll clean, link and interpret data, helping transform how statistics are produced and used across the organisation. What you’ll be doing Collect, clean and manage large, complex datasets Analyse data to identify trends, patterns and insights Link and combine datasets to support deeper analysis Produce clear, user-friendly outputs for both technical and non-technical audiences Use tools for data visualisation, modelling and analysis Support data quality checks and ensure accurate, reliable outputs Apply statistical techniques such as forecasting and time series analysis Present findings and make recommendations based on data Work collaboratively with teams across ONS to support shared objectives

This Data Analyst role sits in the Portfolio Planning & Performance Unit at the centre of GDS Digital Products. The team provides strategic insight to senior leaders, helping prioritise delivery and assure performance as GDS works towards an ambitious roadmap up to 2030. What you’ll be doing Analysing strategic and operational data to understand performance, progress and impact Creating visualisations and insight that help leaders make informed, prioritised decisions Working closely with operations and delivery teams to improve data quality and consistency Helping shape how operational data is captured and used across the organisation Building reporting that is automated, reliable and secure Sharing insight clearly across teams and contributing to a performance/data community of practice Tools & approach (what you’ll use) Data modelling and/or reporting automation Visualisation tools such as Power BI (or similar) Clear storytelling to turn analysis into actionable insight