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# Data Engineer

- **Company:** Boost Talent
- **Location:** Sheffield, UK
- **Experience:** Expert
- **Salary:** £60,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Airflow, Amazon Web Services, Microsoft Azure, BigQuery, Cloud Computing, Data Validation, Extract Transform Load (ETL), Google Cloud, Snowflake, Apache Flink, Apache Kafka, Spark Streaming, Video Streaming, Data Pipelines, Databricks
- **Published:** August 30, 2026
- **Apply:** https://www.collegerecruiter.com/job/2815452224-data-engineer

## About the Role

* Proven experience as a Data Engineer or in a similar data-focused role.
 * Strong skills in SQL and Python, plus ETL/ELT pipelines and data modelling.
 * Hands-on experience with cloud platforms (AWS, Azure, GCP) and tools like Snowflake, Databricks, or BigQuery.
 * Familiarity with streaming technologies (Kafka, Spark Streaming, Flink) is a bonus.
 * Knowledge of frameworks such as Airflow, dbt, Prefect, and CI/CD pipelines.
 * A collaborative mindset and the ability to translate technical concepts into business impact.

## Description

We're working with a forward-thinking organisation where data powers every decision and innovation. They're looking for a Data Engineer who's passionate about building scalable systems and shaping the future of data.

Why You'll Love This Role

Impact That Matters: Your work will underpin the insights and decisions that drive the business forward.

End-to-End Ownership: From designing pipelines to optimising platforms, you'll have the freedom to innovate.

Continuous Growth: Work with cutting-edge tools, collaborate across teams, and explore emerging technologies.

What You'll Be Doing

 * Design, develop, and deploy secure, scalable data pipelines.
 * Integrate data from internal systems, APIs, and third-party platforms into unified warehouses or lakes.
 * Model data for consistency, accessibility, and reusability across the business.
 * Collaborate with analysts, scientists, and business leaders to deliver actionable insights.
 * Implement data quality checks, governance, and compliance with GDPR.
 * Explore new tools and lead migrations to modern cloud platforms like AWS, Azure, or GCP.


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