Senior Data Engineer

Robert Walters
7 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Shift work
Languages
English
Experience level
Senior
Compensation
£ 75K

Job location

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Cloud Computing
Information Engineering
ETL
Data Systems
Data Warehousing
Performance Tuning
Unstructured Data
Snowflake
Real Time Data
Kafka
Data Management
Data Pipelines

Job description

  • Design, build, and maintain reliable ETL processes and end-to-end data pipelines.
  • Develop and manage data warehousing solutions to support analytics and reporting needs.
  • Work with both structured and unstructured data, ensuring high-quality data management practices.
  • Design scalable, high-performance data models that enable efficient data use across the business.
  • Build and transform datasets for downstream analytics, BI, and data science use cases.
  • Leverage cloud technologies (AWS preferred) to deliver scalable, resilient data solutions.
  • Work with Snowflake (ideal), or similar cloud data platforms.
  • Implement or contribute to real-time data processing frameworks (a strong bonus).
  • Integrate data solutions with AI & ML workflows where beneficial.
  • Apply broad engineering knowledge to support system scaling, optimisation, and performance tuning.
  • Collaborate with cross-functional teams to understand data needs and propose effective solutions.
  • Communicate technical concepts clearly, challenge constructively, and contribute to solution design.
  • Work both independently and collaboratively, demonstrating proactive problem-solving and critical thinking.

Requirements

  • 5+ years of experience in Data Engineering or a similar role.
  • Proven experience building ETL pipelines and large-scale data systems.
  • Strong understanding of data warehousing, modelling, and transformation.
  • Experience with cloud platforms (AWS preferred).
  • Exposure to Snowflake, or willingness to learn.
  • Familiarity with real-time data processing (Kafka, Kinesis, or similar).
  • Strong communication skills with the ability to challenge, propose, and influence.
  • A proactive mindset, excellent critical thinking, and a collaborative approach to solving complex problems.
  • Bonus: experience working with AI & ML integration in data pipelines.

Benefits & conditions

  • Salary up to £75,000, depending on experience
  • Hybrid working - 1/2 days in the Heald Green office
  • Autonomy/ Flexible working hours/ Hybrid working
  • Company Equipment
  • Casual Dress Code
  • Employee Pension
  • Long service gifts to celebrate the milestones
  • Team building activities (games/break room (regular tournaments with prizes!)
  • Social events such as Summer BBQs, plus more!

About the company

My Claim Group is a fast-growing UK-based company helping customers navigate complex financial and insurance claims. Our success is built on trust, innovation, and data-driven decision-making - and now we're looking to expand our analytics team to support smarter, faster business outcomes. We are seeking a Senior Data Engineer to join their high-performing data team and help shape the future of our data ecosystem. You will play a key role in designing, building, and scaling robust data platforms that support analytics, reporting, and advanced insight across the organisation.

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