Mid/Senior Data Engineer, Methods
Offers Discretionary Company Bonus – based on company and individual performance
More information about location
IT services consultancy
Be an early applicant
IT services consultancy
201-500 employees
Be an early applicant
Offers Discretionary Company Bonus – based on company and individual performance
More information about location
201-500 employees
Company mission
To help safeguard public-facing services and apply digital thinking to make sure the future of our public services is centred around our citizens.
Role
Who you are
- You should be comfortable working iteratively with architects, process owners and business stakeholders to identify root causes, support tactical fixes, improve reporting confidence, and help establish repeatable data foundations for future transformation
- Working on client data foundation engagements that combine discovery, stabilisation and remediation
- Enable business leaders to make informed decisions with confidence through timely, accurate data insights
- Establish reusable engineering standards, patterns and documentation that support quality, maintainability and repeatable Data Foundations delivery across future engagements
- 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 working with data from Ariba, Workday, SAP S/4HANA or comparable procurement, workforce, timesheet, finance, supplier invoice or locally maintained spreadsheet sources
- Hands-on experience profiling data quality issues, defining cleansing rules, mapping data between systems, validating reconciliation outputs and documenting exceptions for business review
- Ability to work iteratively with architects, process owners, finance, procurement, workforce and operational stakeholders to turn ambiguous business issues into clear data analysis, engineering actions and controlled tactical fixes
- Understanding of data ownership, stewardship, lineage, metadata, controls and data quality monitoring, with the ability to produce documentation that can be reused as part of an enduring data governance model
- Experience implementing and advocating for test-driven development methodologies in data pipeline workflows, including unit testing, integration testing, and data quality validation frameworks
- Proven experience leading technical aspects of data projects
- Strong data architecture and modelling skills with the ability to design scalable data solutions
- Deep understanding of data warehouse design principles and methodologies
- Advanced knowledge of optimisation techniques for large-scale data processing
- 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 Azure Data Factory or Apache Airflow
- Experience with containerisation technologies like Docker
- Proficiency in dimensional modelling techniques
- Experience with CI/CD pipelines for data solutions
- Strong communication skills for translating complex technical concepts
Desirable
- 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
- 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)
- Experience with high-performance, large-scale data systems
What the job involves
- Methods is recruiting for a permanent Mid/Senior Data Engineer to join the Data and AI Capability Centre
- You will support complex client engagements where data engineering is used to stabilise business-critical processes, improve reporting confidence and establish repeatable data foundations across enterprise systems
- Bringing strong hands-on experience in data profiling, cleansing, mapping, reconciliation and integration across complex business systems, ideally with exposure to procurement, workforce, finance, ERP or source-to-pay data
- Typical work will include understanding process and system landscapes, identifying data and reconciliation issues, supporting tactical fixes, and helping clients define the data architecture, reporting and governance foundations needed for longer-term transformation
- Design, build and improve ETL and ELT pipelines that support data ingestion, profiling, reconciliation, cleansing and reporting across enterprise source systems
- Building data catalogues, data flows, interface views and trusted source views
- Design and architect modern data solutions that align with business objectives and technical requirements, supporting current-state and target-state data architecture
- Help clients improve confidence in operational, workforce, procurement and financial reporting through timely, accurate and reconcilable data
- Build highly scalable and performant data solutions leveraging cloud platforms and open-source software
- Develop data models to handle enterprise-level analytical needs
- 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
Our take
The UK public sector has long understood the need for digital transformation, but antiquated systems and outdated processes can make even the most ambitious plans for adaptation fall short. Methods has existed for more than 30 years to assist government departments and agencies make the leap, helping them understand the possibilities of digital transformation and guiding them through strategic planning, data migration and implementation phases.
Methods is an acknowledged leader in IT consultancy within the public sector, praised for their human touch and focus on sustainability which it believes sets it apart from firms. Indeed it is trusted by huge swathes of the UK public sector including the NHS, the Office for National Statistics, the Cabinet Office and the Ministry of Defence, to name just a few.
Methods was acquired by the Alten Group in mid-2022. This acquisition will help to reinforce Method's position as a leading player in the public sector while also allowing it to broaden its role in the private sector. It is poised for growth and is investing heavily in talent to make this a reality.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Company benefits
- 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 LinkedIn Learning, a management development programme and training
- Wellness 24/7 Confidential employee assistance programme
- Social - Breakfast Tuesdays, Pizza Thursday monthly, weekly social in the office and commitment to charitable causes
- Time off 25 days a year
- 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)
- Benefits Platform offering various retail and leisure discounts
Company HQ
Farringdon, London, UK
Leadership
Pat Crossley-Smith
(Executive Director)Previously worked in Agile Product at BUPA and Senior Manager in Development at British Airways.
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