Role: Data Engineer Location:?Bournemouth, UK (?5 days per week in the office) Type: Permanent Note: VISA Sponsorship is not available Requirement: We are seeking a skilled Data Engineer to join our dynamic team. You will be responsible for designing, building, and maintaining robust data pipelines that power predictive algorithms and business insights. Your work will directly impact the banks ability to manage cash efficiently and make data-driven decisions. Key Responsibilities End-to-End Data Pipeline Development Design, implement, and maintain scalable ETL/ELT pipelines for collecting, transforming, and delivering data across systems. Ensure data quality, reliability, and timeliness throughout the pipeline. Data Integration & Movement Develop secure and efficient solutions for data movement between internal and external systems. Work with both structured and unstructured data sources. Analytical Insights Analyze large datasets to extract actionable insights and present findings in a business-friendly format. Collaborate with data scientists and business stakeholders to identify opportunities for impactful analysis. Algorithm Support Provide clean, well-structured data to support predictive models and algorithms for cash forecasting and fund movement. Collaboration & Communication Work closely with product, engineering, and business teams to understand requirements and deliver solutions. Document processes and share knowledge with team members. Required Qualifications Proven experience in designing and building data pipelines (ETL/ELT) using modern technologies (Python, SQL, Spark, Airflow, etc.). Strong analytical skills with the ability to interpret complex data and deliver business value. Experience integrating data from multiple sources and systems. Familiarity with cloud data platforms (AWS, Azure, GCP) and big data technologies. Ability to work independently and collaboratively in a fast-paced environment. Excellent communication and documentation skills. Preferred Qualifications Awareness or experience with financial concepts, especially in banking or cash management. Experience supporting predictive analytics or machine learning workflows. Knowledge of data governance, security, and compliance in financial services.