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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** CACI - **Location:** Bristol, UK - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Amazon S3, Microsoft Azure, Big Data, BigQuery, Cloud Computing, Cloud Storage, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Sharing, Distributed Systems, Interoperability, Python (Programming Language), Performance Tuning, SQL Databases, Google Cloud, Snowflake, Apache Spark, Data Analytics, Data Management, Synthesizing Data, Data Pipelines - **Published:** July 8, 2026 - **Apply:** https://www.totaljobs.com/job/data-engineer/caci-limited-job107655167 ## About the Role * Proven experience as a Data Engineer within complex environments. * Strong knowledge of data management principles, including data modelling, integration, and governance. * Ability to assess existing data management systems and recommend improvements. * Experience working with Snowflake. * Familiarity with modern data architectures (e.g., cloud-based, distributed systems). * Proficiency in SQL, Python, and data pipeline tools (e.g., Apache Airflow, Spark). * Experience with cloud platforms (AWS, Azure, GCP) and big data technologies. * Awareness and evidence of Data Analytics and Visualisation. Due to the industries we work in, we require the successful candidate to be able to obtain high level security clearance. To qualify for this, you must be a British citizen and have lived permanently in the UK for the last 5 years. ## Description You can work from any of our 5 offices in the UK (including Bristol, Cheltenham & London) or from home, you decide. The role will involve occasional travel to meet customers. About the Role: The successful candidate will be focused on the delivery of high-priority projects where you will be supporting our customers across the full project lifecycle from initiation to conclusion. Working with a broad range of technical tools, you will be support with compliance to data governance, standards and qualify frameworks. Key Responsibilities will Include: * Interpret and validate data requirements, gather and analyse large-scale structured datasets, and perform profiling within data environments to ensure accuracy and completeness. * Design and implement ETL frameworks to ingest, transform, validate, normalize, and cleanse data, ensuring it meets business and technical needs. * Apply data quality controls and prepare datasets for visualisation, implementing data models and manage storage solutions like Amazon S3, Azure Blob Storage, BigQuery, or Snowflake. * Support the development of data management standards and policies, including techniques for data synthesis and anonymisation to maintain compliance and security. * Develop robust data models to support analytics and reporting within secure environments. * Delivering performance optimisation through the monitoring and tuning of data workflows for speed, cost efficiency, and reliability. * Establish and refine best practices in data engineering, while contributing to advanced analytics and visualization strategies through research, evaluation of emerging technologies, and presentation of findings to stakeholders. The Fit: The ideal candidate will have a background of working with industry best practices for data management, security, scalability, and awareness of Data Standards, Interoperability, Data Governance, and Data Sharing across security domains. We are looking for someone who is passionate about technology, enjoys problem-solving, and has a collaborative mindset. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Making Data Warehouses fast. 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