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Data engineer

Sheffield
Hays
Data engineer
Posted: 16 February
Offer description

Your newpany

Our client is a global leader in technology consulting, digital transformation, and engineering services. With a strong focus on innovation and cutting‑edge solutions, they partner with major organisations across multiple sectors to solveplex challenges and drive sustainable growth. Known for their collaborative culture andmitment to continuous learning, they empower teams to experiment, create, and deliver impactful results. This is an opportunity to join a forward‑thinking organisation that blends deep industry expertise with modern technology to shape the future of digital services


Your new role

We are seeking a Lead Data Engineering Consultant with proven experience in leading and developing data engineering platforms. The ideal candidate will possess hands-on expertise in the following areas:
1. Extensive enterprise experience with Hadoop, Spark, and Splunk.
2. Proficiency in object-oriented and functional scripting, particularly in Python.
3. Skilled in handling raw, structured, semi-structured, and unstructured data (SQL and NoSQL).
4. Experience integrating large, disparate datasets using modern tools and frameworks.
5. Strong background in building and optimizing ETL/ELT data pipelines.
6. Familiarity with source control and implementing Continuous Integration, Delivery, and Deployment via CI/CD pipelines.
7. Experience supporting and collaborating with BI and Analytics teams in fast-paced environments.
8. Ability to pair program and work effectively with other engineers.
9. Excellent analytical and problem-solving abilities.
10. Knowledge of agile methodologies such as Scrum or Kanban is a plus.
11. Capable of driving the creation of technical test plans and maintaining records, including unit and integration tests, within automated test environments to ensure high code quality.
12. Promote SRE (Site Reliability Engineering) culture by addressing challenges through data engineering.
13. Ensure service resilience, sustainability, and adherence to recovery time objectives for all delivered software solutions.

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