Data Engineer

Data Engineer - London / Bracknell / Birmingham / Leeds / Manchester / Livingston - Hybrid - SCC Flex Contract

We are seeking an experienced Data Engineer to support high-profile transformation and technology initiatives across a complex enterprise environment. This is an exciting opportunity for a Data Engineer to join a dynamic client programme, driving the design, development and optimisation of modern data platforms and pipelines. The successful Data Engineer will play a key role in enabling data-driven decision-making, supporting analytics, AI and business intelligence capabilities across the organisation.

Your responsibilities as the Data Engineer:

• Design, build and maintain scalable data pipelines and integration solutions across enterprise environments.
• Develop and optimise ETL/ELT processes to support data ingestion, transformation and delivery requirements.
• Build and manage modern data platforms, data lakes and data warehouses to support business and operational reporting.
• Collaborate with architects, developers, analysts, data scientists and business stakeholders to deliver robust data solutions.
• Design and maintain cloud-based and hybrid data environments, ensuring performance, reliability and scalability.
• Support transformation programmes and continuous improvement initiatives through innovative data engineering practices.
• Ensure all data solutions align with organisational security, governance, compliance and data quality standards.
• Automate data workflows and deployment processes using DevOps and Infrastructure as Code best practices where applicable.
• Monitor, troubleshoot and optimise data pipelines, processing workloads and platform performance.
• Provide technical leadership, expertise and best-practice guidance across data engineering technologies and methodologies.
• Contribute to technical roadmaps, architecture reviews and strategic data initiatives.

As a successful Data Engineer, you will have:

• Proven experience working as a Data Engineer within large-scale enterprise environments.
• Strong experience designing, developing and supporting scalable data pipelines and data integration solutions.
• Expertise in cloud data platforms such as Microsoft Azure, AWS and/or Google Cloud Platform.
• Strong SQL development skills and experience working with large volumes of structured and unstructured data.
• Experience with modern data technologies such as Azure Data Factory, Synapse Analytics, Databricks, Snowflake, Redshift or BigQuery.
• Experience building and maintaining data lakes, data warehouses and analytics platforms.
• Strong knowledge of ETL/ELT methodologies, data modelling and data architecture principles.
• Experience with Python, Spark, Scala and/or other relevant data engineering technologies.
• Familiarity with CI/CD pipelines, DevOps methodologies and automation practices.
• Understanding of data governance, data quality, security and regulatory compliance requirements.
• Strong stakeholder management, communication and collaboration skills.
• Excellent analytical, troubleshooting and problem-solving abilities.
• Experience delivering enterprise-scale technology solutions within complex environments.
• Relevant certifications and industry experience are highly desirable.

Professional references required.

NOTE: At SCC, we take the privacy and security of your information very seriously. Any information we hold will be handled in accordance with current data protection legislation. Upon submitting your application, SCC will process your information in line with our privacy policy, which can be found on our website under Legal Privacy Notice Flexible Resourcing.

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