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About the Role

Methods is recruiting for a permanent Mid/Senior Data Engineer to join the Data and AI Capability Centre. This role will support complex client engagements where data engineering is used to stabilize business-critical processes, improve reporting confidence, and establish repeatable data foundations across enterprise systems.

Responsibilities

• Design, build, and improve ETL and ELT pipelines that support data ingestion, profiling, reconciliation, cleansing, and reporting across enterprise source systems.
• Build 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.
• Optimize large-scale data processing systems for performance and cost-efficiency.
• Implement robust data quality frameworks and monitoring solutions.
• Evaluate new technologies to enhance 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.

Requirements

• 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 modeling skills with the ability to design scalable data solutions.
• Deep understanding of data warehouse design principles and methodologies.
• Advanced knowledge of optimization 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 containerization technologies like Docker.
• Proficiency in dimensional modeling techniques.
• Experience with CI/CD pipelines for data solutions.
• Strong communication skills for translating complex technical concepts.
• Experience designing and implementing data mesh or data fabric architectures.
• Knowledge of cost optimization strategies for cloud data platforms.
• Experience with data quality frameworks and implementation.
• Experience with data visualization 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.
• UKSV (United Kingdom Security Vetting) clearance is required for this role, with Security Check (SC) as the minimum standard, either already held or with a willingness to undergo the process.
• Some roles/projects may require Developed Vetting (DV) clearance; while not mandatory, a willingness to obtain DV clearance would be beneficial.
• Candidates will be asked to complete a Baseline Personnel Security Standard (BPSS) as part of the onboarding process.

Skills

• Data Profiling
• Data Cleansing
• Data Mapping
• Data Reconciliation
• Data Integration
• ETL
• ELT
• Data Catalogues
• Data Flows
• Interface Views
• Source Views
• Data Architecture
• Data Modeling
• Cloud Platforms
• Open-Source Software
• Data Quality Frameworks
• SQL
• Python
• Apache Spark
• PySpark
• Spark SQL
• Azure Data Stack
• Azure Data Factory
• Apache Airflow
• Docker
• Dimensional Modelling
• CI/CD Pipelines
• Communication Skills
• Data Mesh
• Data Fabric
• Cloud Cost Optimization
• Data Visualization
• Power BI
• Apache Superset
• AWS
• GCP
• Oracle
• Databricks
• Microsoft Fabric
• Kubernetes
• Apache Kafka
• Event-Based Architectures
• High-Performance Data Systems

Location

• Remote
• London
• Sheffield
• Bristol

Work Type

• Permanent
• Remote
• Hybrid

Experience Level

• Mid-Level
• Senior

Benefits

• Autonomy to develop and grow skills and experience
• Part of exciting project work making a difference in society
• Strong, inspiring, and thought-provoking leadership
• Supportive and collaborative environment
• Development opportunities including LinkedIn Learning, management development programme, and training
• 24/7 confidential employee assistance programme
• Flexible working including home working and part time
• Social events
• 25 days of annual leave plus bank holidays
• Option to buy extra days of annual leave each year
• 2 paid days per year to volunteer
• Salary Exchange Scheme with 4% employer contribution and 5% employee contribution
• Discretionary Company Bonus
• Life Assurance of 4 times base salary
• Non-contributory Private Medical Insurance (spouse and dependants included)
• Non-contributory Worldwide Travel Insurance (spouse and dependants included)
• Enhanced Maternity and Paternity Pay
• Season ticket loan
• Cycle to work scheme

About the Company

• Methods is passionate about its people; we want our colleagues to develop the things they are good at and enjoy.