Data Engineer in Sheffield

Overview

DCS Tech are searching for an experienced Data Engineer to join our client’s growing team! You will play a crucial part in designing, building, and optimising the data infrastructure that underpins the organisation.

Location

Sheffield (Hybrid – 3 days per week onsite)

Base pay range

Direct message the job poster from DCS Technology

Key responsibilities

• Design, develop, and deploy scalable, secure, and reliable data pipelines using modern cloud and data engineering tools.
• Consolidate data from internal systems, APIs, and third-party sources into a unified data warehouse or data lake environment.
• Build and maintain robust data models to ensure accuracy, consistency, and accessibility across the organisation.
• Work closely with Data Analysts, Data Scientists, and business stakeholders to translate data requirements into effective technical solutions.
• Optimise data systems to deliver fast and accurate insights supporting dashboards, KPIs, and reporting frameworks.
• Implement monitoring, validation, and quality checks to ensure high levels of data accuracy and trust.
• Support compliance with relevant data standards and regulations, including GDPR.
• Maintain strong data security practices relating to access, encryption, and storage.
• Research and recommend new tools, technologies, and processes to improve performance, scalability, and efficiency.
• Contribute to migrations and modernisation projects across cloud and data platforms (e.g. AWS, Azure, GCP, Snowflake, Databricks).
• Create and maintain documentation aligned with internal processes and change management controls.

Experience & Technical Skills

• Proven hands-on experience as a Data Engineer or in a similar data-centric role.
• Strong proficiency in SQL and Python.
• Solid understanding of ETL/ELT pipelines, data modelling, and data warehousing principles.
• Experience working with cloud platforms such as AWS, Azure, or GCP.
• Exposure to modern data tools such as Snowflake, Databricks, or BigQuery.
• Familiarity with streaming technologies (e.g., Kafka, Spark Streaming, Flink) is an advantage.
• Experience with orchestration and infrastructure tools such as Airflow, dbt, Prefect, CI/CD pipelines, and Terraform.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

Industries

• Technology, Information and Media, IT System Data Services, and Data Infrastructure and Analytics