Data Engineer

Data Engineer Location: London (Hybrid) Salary: Up to £75,000 + Bonus + Benefits Technology: SQL, Python, Spark - Azure, AWS, GCP - ETL/ELT - Data Governance The Opportunity Are you a Data Engineer looking for an opportunity to work on large-scale data transformation programmes whilst helping shape enterprise-wide data strategy? We're partnering with an organisation that is making significant investments in its data capabilities and digital transformation journey. Data sits at the heart of business decision-making, making this an excellent opportunity to join a company where your work will have genuine visibility and impact. You'll join a collaborative, forward-thinking team delivering modern data solutions across data engineering, governance, migration, quality, metadata management and master data management initiatives. The business offers strong career progression, ongoing investment in technology and the opportunity to work with modern cloud platforms and tools. Key Responsibilities • Design, develop and deploy enterprise-wide data management solutions. • Build and optimise ETL/ELT pipelines and automated data workflows. • Deliver Data Quality programmes, including data profiling, cleansing, validation and monitoring. • Lead and support complex Data Migration projects across multiple source and target systems. • Define migration strategies, data mapping, transformation logic, validation and reconciliation processes. • Implement and maintain Master Data Management (MDM) solutions and governance processes. • Develop and manage metadata capabilities, including data catalogues, business glossaries and data lineage. • Support Data Governance initiatives, ensuring data security, privacy and compliance standards are maintained. • Work with large and complex datasets using SQL, Python, Spark, Hadoop and modern data technologies. • Collaborate with technical and business stakeholders within Agile delivery environments. • Support data architecture and data modelling activities across enterprise platforms. • Utilise cloud-based data services across Azure, AWS and GCP environments. Benefits • Salary up to £75,000 • Annual bonus scheme • Hybrid working • Competitive pension contribution • Learning and development budget • Professional certification support • Exposure to modern cloud and data technologies • Clear career progression opportunities • Collaborative and supportive working culture • Opportunity to work on high-profile data transformation projects Skills & Experience Required • Proven experience delivering Data Engineering and Data Management solutions within enterprise environments. • Strong experience designing and implementing Data Quality frameworks and programmes. • Demonstrable experience delivering end-to-end Data Migration projects. • Experience with Metadata Management, including data cataloguing, lineage and business glossary development. • Hands-on experience implementing and managing Master Data Management (MDM) solutions. • Strong SQL skills and proficiency in Python or similar programming languages. • Experience with ETL/ELT tools, data warehousing and automated data pipelines. • Knowledge of Spark, Hadoop or similar big data technologies. • Strong understanding of Data Governance principles, policies, controls and data lifecycle management. • Experience working within Agile delivery environments. • Familiarity with dimensional and relational data modelling techniques. • Understanding of data architecture principles and best practices. • Experience with Azure, AWS or GCP data services would be advantageous. • Excellent analytical, problem-solving and stakeholder management skills. Apply Now This is a fantastic opportunity to join a business where data is driving real change and innovation. If you're looking for a role where you can influence strategy, work with modern technologies and be part of a major data transformation programme, we'd love to hear from you. Apply today or send your CV directly for immediate consideration. Interviews are being scheduled now, so early applications are strongly encouraged.