Job Advertisement: Software Developer / Senior Data Engineer Location: London Contract Length: 12 Months Daily Rate: £700 (Umbrella) Are you ready to be part of a transformative journey? Our client is embarking on a major enterprise-wide data platform transformation, and they need a talented Software Developer / Senior Data Engineer to join their dynamic team! About the Role: You will play a pivotal role in designing and building a state-of-the-art data platform that consolidates data from various business areas into a centralised environment for reporting, analytics, and business consumption. This is your opportunity to contribute significantly as the project progresses towards crucial go-live milestones between March and June 2027! Key Responsibilities: Design & Build: Create and maintain scalable data pipelines using Python and SQL. Optimise Solutions: Develop, optimise, and support enterprise data platform solutions. Data Integration: Build and manage data ingestion, transformation, and integration processes. Infrastructure Management: Create and maintain data models, tables, and supporting infrastructure within Databricks and associated data lake/lakehouse environments. Business Logic Development: Implement business logic, calculations, and data processing solutions using Python. Collaboration: Work closely with business stakeholders and engineering teams to deliver high-quality data assets. Quality Assurance: Ensure data quality, performance, scalability, and governance standards are met. Documentation: Produce technical documentation, architecture artefacts, and data flow specifications. Performance Improvement: Identify and resolve performance bottlenecks across pipelines and processing workflows. Required Skills & Experience: Essential: Strong commercial experience in Python development. Proficient in SQL, including query optimisation and data modelling. Hands-on experience with Databricks. Proven track record in designing and building enterprise data platforms. Experience in developing ETL/ELT pipelines and data integration solutions. Strong understanding of data lakes and lakehouse architectures. Experience working with large-scale datasets and modern data engineering practises. Ability to design and deliver end-to-end data solutions. Strong analytical and problem-solving skills. Excellent stakeholder management and communication skills. Highly Desirable: Experience with Spark / PySpark. Familiarity with Azure Data Lake, Snowflake, or similar platforms. Knowledge of orchestration tools like Airflow or Azure Data Factory. Exposure to financial services environments. Experience supporting large-scale data transformation or migration programmes. What We're Looking For: A senior-level contractor who can hit the ground running. Someone comfortable working autonomously with minimal oversight. Proven experience in delivering long-term contract engagements (12 months or longer). Strong interpersonal skills with a team-oriented approach. Immediate availability or able to start quickly. Key Deliverables: Delivery of scalable, reliable, and performant data pipelines. Development of robust data models and platform structures. Successful implementation of data engineering solutions that support the enterprise data platform. High-quality data assets for reporting, analytics, and business consumption. Contribution to platform go-live milestones between March and June 2027. Join our client and be part of something big! If you are ready to take on a challenging and rewarding role, we want to hear from you! Apply now and help shape the future of data
Software Developer in London employer: Pontoon
Pontoon is an excellent employer, offering a dynamic work culture that fosters creativity and collaboration in the heart of London. With flexible working arrangements and a strong emphasis on professional development, employees are empowered to grow their skills while contributing to innovative AI-driven solutions in the banking sector. Join us to be part of a team that values your input and encourages meaningful contributions to customer experiences.
