Data Engineer | £55,000-£65,000 | Hybrid | LondonMy client, a leading global professional services organisation, is seeking a Data Engineer to design, implement, and optimise data solutions that drive strategic decision-making. This role offers an exciting opportunity to work with cutting-edge technologies and contribute to global digital transformation initiatives. Key Responsibilities:* Design and develop scalable data pipelines, manage ETL processes, and ensure high data quality and integrity. * Optimise data models, implement data governance, and troubleshoot data-related issues while ensuring performance and scalability. * Collaborate with stakeholders to translate business needs into data solutions, document processes, and integrate modern cloud technologies (Azure Synapse, Snowflake, Databricks). Skills and Experience Required:* Proficiency in Azure Synapse and other cloud platforms (AWS or GCP). * Expertise in programming languages like Python, Java, or C#, and tools like SQL, Alteryx, or Excel. * Experience with database technologies, including SQL, NoSQL, MongoDB, and Oracle. * Knowledge of AI, ML, and BI-driven data architectures and solutions. * Strong problem-solving and critical-thinking skills with a collaborative mindset. * Excellent communication skills to translate technical concepts for non-technical audiences. What's on Offer:* Hybrid Working: Flexible work environment combining remote and office-based work. * Global Exposure: Work on international projects and collaborate with global teams. * Competitive Package: £55,000-£65,000 base salary.
Back to searchData Engineer
Harrison Holgate
Posted 6 days ago, valid for 20 days
London, Greater London EC1R 0WX
£45,000 - £54,000 per annum
Full Time
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Sonic Summary
- The position of Data Engineer offers a competitive salary ranging from £55,000 to £65,000 and requires expertise in cloud platforms such as Azure Synapse, AWS, or GCP.
- Candidates should have experience in programming languages like Python, Java, or C#, as well as familiarity with SQL and database technologies including NoSQL and MongoDB.
- The role involves designing and developing scalable data pipelines, managing ETL processes, and ensuring high data quality and integrity.
- Strong problem-solving skills and the ability to communicate technical concepts to non-technical audiences are essential for this position.
- This hybrid role allows for a flexible work environment while contributing to global digital transformation initiatives.
