
(SC cleared) Data Engineer
Methods Business and Digital Technology
- Bristol Area
- Permanent
- Full-time
- Design and architect modern data solutions that align with business objectives and technical requirements
- Design and implement advanced ETL/ELT pipelines using Python, SQL, and Apache Airflow
- Build highly scalable and performant data solutions leveraging cloud platforms and technologies
- Develop complex data models to handle enterprise-level analytical needs
- Make critical technical decisions on tools, frameworks, and approaches for complex data challenges
- Optimise large-scale data processing systems for performance and cost-efficiency
- Implement robust data quality frameworks and monitoring solutions
- Evaluate new technologies to enhance our data engineering capabilities
- Collaborate with stakeholders to translate business requirements into technical specifications
- Present technical solutions to leadership and non-technical stakeholders
- Contribute to the development of the Methods Analytics Engineering Practice by participating in our internal community of practice
- Enable business leaders to make informed decisions with confidence through timely, accurate data insights
- Drive adoption of modern data architectures and platforms
- Deliver seamless data solutions that enhance user experience
- Elevate the technical capabilities of the entire data engineering team
- Help cultivate a data-driven culture within the organisation
- Establish technical standards and patterns that ensure quality and maintainability
- Experience in SQL Server Integration Services (SSIS)
- Good experience with ETL - SSIS, SSRS, T-SQL (On-prem/Cloud)
- Strong proficiency in SQL and Python for handling complex data problems
- Hands-on experience with Apache Spark (PySpark or Spark SQL)
- Experience with the Azure data stack
- Knowledge of workflow orchestration tools like Apache Airflow
- Experience with containerisation technologies like Docker
- Proficiency in dimensional modelling techniques
- Experience with CI/CD pipelines for data solutions
- Experience implementing and advocating for test-driven development methodologies in data pipeline workflows, including unit testing, integration testing, and data quality validation frameworks
- Strong communication skills for translating complex technical concepts
- Track record of successful project delivery in a technical leadership capacity
- Experience designing and implementing data mesh or data fabric architectures
- Knowledge of cost optimisation strategies for cloud data platforms
- Experience with data quality frameworks and implementation
- Understanding of data lineage and metadata management
- Experience with technical project management
- Experience with data visualisation tools like Power BI or Apache Superset
- Experience with other cloud data platforms like AWS, GCP or Oracle
- Experience with modern unified data platforms like Databricks or Microsoft Fabric
- Experience with Kubernetes for container orchestration
- Understanding of streaming technologies (Apache Kafka, event-based architectures)
- Software engineering background with SOLID principles understanding
- Experience with high-performance, large-scale data systems
- Knowledge of recent innovations in AI/ML and GenAI
- Defence or Public Sector experience
- Consultant experience
- Autonomy to develop and grow your skills and experience
- Be part of exciting project work that is making a difference in society
- Strong, inspiring, and thought-provoking leadership
- A supportive and collaborative environment
- Development access to Pluralsight and LinkedIn Learning
- Wellness 24/7 Confidential employee assistance programme
- Social - office parties, pizza Friday and commitment to charitable causes
- Time off - 25 days of annual leave a year, plus bank holidays, with the option to buy 5 extra days each year
- Volunteering - 2 paid days per year to volunteer in our local communities or within a charity organisation
- Pension Salary Exchange Scheme with 4% employer contribution and 5% employee contribution
- Discretionary Company Bonus based on company and individual performance
- Life Assurance of 4 times base salary
- Private Medical Insurance which is non-contributory (spouse and dependants included)
- Worldwide Travel Insurance which is non-contributory (spouse and dependants included)