Position Title: Graduate Data Engineer Department: TechOps Reports To: Senior Business Intelligence Manager Salary : Up to £30,000 per annum (depending on experience) Location: Head Office, Pioneer House, Morton Park, Darlington Basic DBS Check Required Position Overview: We’re looking for a motivated and curious Graduate Data Engineer to join our growing TechOps team. This role is ideal for a recent graduate in Data Engineering, Software Engineering, Data Science, Computer Science, or a related discipline, or for someone with up to 1–2 years of experience in data engineering or analytics. You’ll play a key role in designing, developing, and implementing data engineering solutions such as automated pipelines, SQL databases and governance models. You’ll work across the full data lifecycle. From data extraction and transformation (ETL) through to data modelling, visualisation, and reporting - helping to drive data-informed decision-making across the business. You’ll gain hands-on experience with Microsoft Azure, SQL, and Databricks, while learning best practices in data pipeline management, automation, and data governance. Why You’ll Love Working Here At Baltic Apprenticeships, you’ll join a team that’s passionate about growth, innovation, and using data to make a difference. A culture built for learning – Access to ongoing technical training, certifications, and learning opportunities to strengthen your data engineering and analytics skills. Mentorship & Support – Work alongside experienced Data Analysts and BI Engineers who will help you develop your confidence and technical expertise. Real projects, real impact – Contribute to live projects involving data visualisation, ETL processes, and cloud data solutions that influence strategic decisions across the business. Cutting-edge technology – Work with the latest tools in Azure Data Factory, SQL Server, Power BI/Tableau, and cloud-based data platforms shaping the future of business intelligence. Key Responsibilities Work with stakeholders to gather business requirements and translate them into technical specifications. Support in building and managing data pipelines using Microsoft Azure, Databricks and other ETL tools. Contribute to data modelling, ensuring accuracy, consistency, and integrity across sources. Help automate repetitive data processes and improve data validation. Monitor, troubleshoot, and optimise data solutions for performance. Assist in documenting data processes, technical workflows, and best practices. Key Objectives Support the timely delivery of BI and data engineering projects. Help improve data quality, reliability, and automation within the BI data environment. Develop and maintain reporting to log and monitor pipeline performance and data flow health. Migrate pipelines from ADF to Databricks. Work closely with Junior Data Engineer and AI Engineer to deliver on business projects. Essential Skills Cloud Platforms: Familiarity with Microsoft Azure and cloud-based data services (e.g. Azure Data Factory, Azure SQL Database, Databricks). Data Engineering Fundamentals: Strong experience with SQL, relational databases, and data modelling concepts. Understanding of ETL workflows, data pipelines, and automation. Technical Awareness: Awareness of APIs, version control (Git), scripting (Python), and how they fit within a data ecosystem. Collaboration & Communication: Ability to work effectively with senior colleagues, translating technical insights into clear business value. Desirable Skills Exposure to data warehousing, data governance, or data quality frameworks. Experience using Databricks to create and orchestrate data pipelines. Understanding of statistics, data ethics, or machine learning concepts from academic studies. Experience working with or analysing large datasets using SQL or Python. A successful Graduate Data Engineer team member will embody our core values: Be the Expert: Continuously develop deep knowledge of systems, processes, and business operations to deliver reliable, data-driven insights and solutions that improve performance and efficiency. Be the Customer: Deliver responsive, tailored support to internal teams and stakeholders - understanding their needs and challenges to ensure smooth, effective service delivery. Be the Future: Champion continuous improvement initiatives by identifying process gaps and innovation opportunities, helping the organisation scale sustainably and stay ahead in a dynamic environment. By living these values, you’ll build strong cross-functional relationships, enhance operational excellence, and drive meaningful, lasting improvements across the business. Our Benefits We’re passionate about you, your well-being, your performance, your development, and your overall experience at Baltic. Here are some Baltic benefits that you can look forward to: Fantastic progression opportunities Full training and ongoing support from our in-house enablement team Fun environment with exciting social events Early finish every Friday 25 days annual leave (this increases to 30 days with length of service) Never work weekends or Bank Holidays Full office shutdown between Christmas and New Year’s Day Additional Life Event holiday every year 2 Additional Well-Being Days off every year Free access to mental health support through SPILL Local discounted gym membership Enhanced maternity and paternity scheme (2 years service) We welcome applications from candidates of all backgrounds. However, please note that we’re currently unable to offer visa sponsorship, so you’ll need to have existing right to work in the UK to be considered for this role.