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Job Title: Data Engineer Location: Liverpool, UK Salary: £65,000 - £70,000 per annum, depending on experience Job Type: Permanent, Full Time Working Hours: 37.5 hours per week, Monday to Friday, 9am to 5:30pm We are seeking a talented and experienced Data Engineer to join our innovative and collaborative Database and AI Team. In this role, you will play a key part in shaping our data strategy and driving business success. Your skills will contribute directly to our forward-thinking initiatives. At Acorn we value and prioritise innovation, teamwork, and continuous development. Key part of this role is to support our strategic data goals, ensuring system resilience and performance, and building secure, scalable database architectures. What you will be doing: Design and implement robust data ingestion pipelines for unstructured data using modern data engineering tools and frameworks. Develop and maintain scalable storage solutions (e.g., data lakes, NoSQL databases) optimized for unstructured data. Collaborate with data scientists, analysts, and software engineers to ensure data availability, quality, and usability. Apply data parsing, extraction, and transformation techniques (e.g., NLP, OCR, image/audio processing). Implement data governance, metadata management, and data cataloging for unstructured data assets. Monitor and optimize data workflows for performance, reliability, and cost-efficiency. Ensure compliance with data privacy and security standards. Share knowledge and mentor team members Stay ahead of the curve with the latest database technologies Experience of real time cloud streaming solutions What we are looking for: Essential Skills: Experience dealing with unstructured data including voice, chat, image Proven ability to manage secure, high-performance database environments Excellent communication and cross-functional collaboration skills A passion for continuous learning and innovation Desirable skill: Databricks Azure Fabric Confluent/Apache Flink Knowledge Grow with Acorn At Acorn Insurance, we're proud of our Liverpool roots - and even prouder of how far we've come. As part of the Acorn Group, we bring over 40 years of specialist insurance expertise to the table. From humble beginnings, we've grown into a national leader, now employing 1,700+ people across the UK and reached a milestone £750 million in total value of insurance policies written in 2024. We're growing fast, with new opportunities emerging every week. That growth is largely due to the values we share: We run through walls for our customers and each other We challenge the status quo We succeed when we help those around us succeed We decide quickly when the smart thing to do is use our judgement Benefits: A maximum of 35 days' holiday (including bank holidays) with additional buy/sell options 24/7 mental health support & free counselling available Grow with us: Through career fairs, leadership programs, and learning on the go! Flexible benefits, including early access to salary via our internal platform Hybrid working options to support work-life balance and individual needs Recognition awards, social events & more Our Commitment to our colleague's: These aren't just words - they're the principles we live by. And we're proud to back them up with real action, earning recognition and accreditation from leading organisations that share our commitment to people and growth: Mindful Employer - championing mental health and wellbeing Disability Confident Level 1 & 2 - creating accessible, inclusive opportunities Menopause Friendly accredited - supporting every stage of life Armed Forces Covenant signatory - honouring those who serve Great Places to Work 2024/25 - fostering an engaging and positive workplace culture Best Place to Work for Development - proud to be investing in people's future Best Place to Work for Women - breaking down barriers to women's career progression A Few Things to Know Before You Apply: If your application is successful, we will commence relevant employment checks prior to you commencing employment with us. These will include a standard criminal record check and an insolvency register check. Visa Requirements: Because our training is quite comprehensive, we can only consider applicants who have at least one year remaining on their Graduate or Post-Study Work visa. At the moment, we're not able to offer visa sponsorship. We're Here to Support You: We're committed to creating an inclusive, supportive workplace where everyone can flourish. If you need any adjustments during the recruitment process-or once you're part of the team-just let us know. Whether it's flexible hours, adapted equipment, or a bit of extra support, we'll work with you to make sure you can do your best work. Please click the APPLY button to submit your CV for this role. Candidates with experience or relevant job titles of; Cloud Data Engineer, Data Platform Engineer, Data Analytics Engineer, Data Solution Architect, Database Architect, Infrastructure Engineer may also be considered for this role.

Project Manager with Digital Banking Operations and Artificial Intelligence AI We are seeking a Project Manager with Digital Banking Operations and Artificial Intelligence (AI) Projects experience to join our Client a bank based in Central London. This is a full-time role located in London, with flexibility for some remote work. As an AI project manager, you be responsible for overseeing and managing the implementation of AI projects within our digital banking operations. You will collaborate with cross-functional teams to define project goals, develop project plans, allocate resources, track progress, and ensure timely and successful delivery of projects. Experience and Qualifications Previous experience in project management, preferably within the banking or financial services industry Strong understanding of digital banking operations and Artificial Intelligence AI technologies Proven track record of successfully delivering complex projects on time and within budget Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams Strong problem-solving and decision-making abilities Knowledge of agile project management methodologies Experience with data analysis and reporting Ability to adapt to changing priorities and work well under pressure Project management certification (e.g., PMP) is a plus Bachelor's degree in a relevant field Areas to Consider 1. Customer Service Enhancement Chatbots and Virtual Assistants: Deploy AI-driven chatbots to handle routine inquiries, provide 24/7 support, and reduce wait times. Sentiment Analysis: Use AI to analyze customer feedback and sentiment from various channels to improve services. 2. Fraud Detection and Prevention Real-Time Monitoring: Implement AI algorithms to detect and flag unusual transactions in real-time. Predictive Analytics: Use machine learning models to predict potential fraud based on historical data and behavioural patterns. 3. Loan Processing Automation Credit Scoring: AI can evaluate creditworthiness more accurately by analyzing a wider range of data points. Document Verification: Automate the verification of documents submitted for loan applications, speeding up the approval process. 4. Personalized Banking Services Customer Insights: Leverage AI to gain insights into customer behaviour and preferences, allowing for personalized product recommendations. Marketing Campaigns: Use AI to target customers with tailored marketing campaigns based on their transaction history and preferences. 5. Risk Management Risk Assessment: AI can analyze market trends and economic indicators to provide early warnings about potential risks. Compliance Monitoring: Automate compliance checks and monitoring to ensure adherence to regulations and reduce the risk of non-compliance penalties. 6. Operational Efficiency Process Automation: Use robotic process automation (RPA) to handle repetitive tasks such as data entry, account reconciliation, and report generation. Workflow Optimization: AI can optimize workflows by identifying bottlenecks and suggesting improvements. Implementation Strategy Assessment: Evaluate the current state of digital banking operations and identify areas where AI can add value. Pilot Projects: Start with pilot projects to test AI applications in a controlled environment. Scalability: Ensure that AI solutions are scalable and can handle increasing volumes of data and transactions. Employee Training: Train staff on AI tools and their applications to ensure seamless integration. Continuous Improvement: Regularly update AI models and algorithms based on new data and evolving business needs. Challenges and Considerations Data Quality: Ensure high-quality data for accurate AI predictions and analysis. Regulatory Compliance: Stay compliant with financial regulations while implementing AI solutions. Customer Trust: Maintain transparency in AI-driven decisions to build and maintain customer trust. Integration: Seamlessly integrate AI with existing banking systems and processes. The main emphasis of this position to is harness the data from a variety of data tables at the bank and collate a Data Lake from which to extract a variety of AI reports to increase the banks customer strategy. By strategically implementing AI in these areas, a Digital Banking Operations Manager can greatly improve the efficiency, security, and customer satisfaction in digital banking operations. The position will be hybrid 3 days a week in the office. The salary is negotiable depending on experience but probably in the range £80K - £120K plus benefits. Do send your CV to us in Word format along with your salary and notice period.