Data Engineer

Are you adept at turning complex datasets into actionable insights? Our client is seeking a Data Engineer to lead crucial initiatives in Analytics, Data Science and Machine Learning.

This role offers the chance to work hands-on with Databricks, Azure and AWS. Positioned in a leading UK-based financial services company, this opportunity is perfect for someone ready to mentor and steer cross-functional projects that impact the company’s strategic direction.

What You’ll Be Doing:

• Craft and manage sophisticated data pipelines on cloud and on-prem platforms.
• Work collaboratively with stakeholders to leverage data in new, innovative ways that drive business intelligence and enhance customer insights.
• Lead the design and execution of agile projects, using a fail-fast philosophy to streamline success.
• Strategically evolve the company’s data architecture to meet business demands while maintaining the highest standards of data quality and accessibility.

What Experience You’ll Need to Apply:

• Minimum of 3 years’ experience in data engineering.
• Expertise in programming with Python and SQL
• Strong background in Azure and/or AWS, with a solid understanding of Databricks.
• Proven ability to develop scalable ETL processes on big data platforms and manage large datasets.
• Excellent problem-solving skills and the ability to work both independently and as part of a team.

What You’ll Get in Return for Your Experience:

A competitive salary up to £70,000 plus a performance-related bonus scheme (9%).

Their comprehensive benefits package is crafted to ensure that you and your loved ones are well cared for. This includes an exceptional pension scheme with up to 14% employer contributions, which stands as one of the most generous in the industry, and private medical insurance to give you peace of mind regarding your health. Moreover, you’ll enjoy 28 days of annual leave plus bank holidays, with the flexibility to buy or sell holiday depending on your needs.

Professional development is at the heart of their operations too – they are committed to providing opportunities that foster skill enhancement and career advancement, supported by a dynamic and inclusive workplace culture. This environment promotes collaboration and innovation, and ensures that every team member can thrive both professionally and personally. Additionally, their hybrid working model (2 days in office) offers the flexibility to blend work from home and office settings, helping maintain a healthy work-life balance.

What’s Next?

If you’re looking for a challenging role where you can make a significant impact and advance your career in data engineering, apply today with an up to date CV.