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Method, a GlobalLogic company - Senior Data Engineer

Remote - London2d ago

Requirements

• 5+ years of data engineering experience, including delivery in a consulting or client-facing environment. • Proficiency in Python and SQL for data wrangling, transformation, and pipeline development. • Experience in data modeling - designing master data schemas and drafting unified taxonomies across fragmented source systems. • Master Data Management (MDM) experience: cleansing, mapping, and standardizing inconsistent data into a governed structure. • Experience building ETL/ELT pipelines and working with cloud data platforms (AWS, Azure, or GCP). • Experience documenting data governance artefacts and contributing to data governance frameworks. • Ability to reverse-engineer legacy systems and extract business logic from poorly documented codebases or complex Excel/VBA models. • Strong communication skills - able to translate technical decisions clearly for both technical and non-technical stakeholders. • Comfortable operating in ambiguity and structuring a path forward without perfect requirements. • Willing and able to ramp on new technologies as client engagements evolve. • Familiarity with Microsoft Azure services (Azure SQL, Cosmos DB, Azure DevOps). • Experience with API mock development or prototyping in early-phase delivery contexts. • Experience with ERP or supply chain data structures. • Experience modernizing legacy integrations (SOAP/WCF to REST). • Database consolidation or migration experience (SQLite, MSSQL, or cloud databases). • Familiarity with modern orchestration and transformation tools (Airflow, dbt, Dagster, Prefect). • Background in manufacturing, engineering, or cost modelling domains. • Familiarity with enterprise integration platforms such as MuleSoft. • Experience with machine learning or predictive analytics frameworks.

Responsibilities

• Design, develop, and optimize data pipelines and data infrastructure across a range of client engagements. • Contribute to data modeling, master data management, and taxonomy standardization across complex, multi-system environments. • Build and test API integrations and prototypes, including working with static data exports and mock stubs in early-phase delivery contexts. • Document data governance artefacts - data domains, critical data elements, quality rules, and data lineage - and support clients in building data governance capability. • Reverse-engineer legacy systems and extract business logic from poorly documented codebases, complex spreadsheet models, or fragmented data structures. • Collaborate with architects, designers, product managers, and client stakeholders to align data solutions with broader digital product and platform goals. • Contribute to AI readiness assessments - evaluating data coverage, quality, schema consistency, and lineage to identify gaps and support remediation. • Perform code reviews, mentor junior team members, and contribute to best practices across the Data & AI team. • Communicate data architecture and pipeline design clearly using schemas, data flow diagrams, and visual artefacts, for both technical and non-technical audiences.

Benefits

• We look for individuals who are smart, kind and brave. Curious people with a natural ability to think on their feet, learn fast, and develop points-of-view for a constantly changing world find Method an exciting place to work. Our employees are excited to collaborate with dispersed and diverse teams that bring together the best in thinking and making. We champion the ability to listen, and believe that critique and dissonance lead to better outcomes. We believe everyone has the capacity to lead and look for proactive individuals who can take and give direction, lead by example, enjoy the making as much as they do the thinking, especially at senior and leadership levels. • We believe in work/life balance. Seriously. We offer a ton of competitive perks, including: • Continuing education opportunities • Flexible PTO and work-from-home policies • Health and dental benefits • Company lunches, company outings, along with a lot of snacks • Health and wellness programs • Other location specific perks (just ask!) • Next Steps • Next Steps • If Method sounds like the place for you, please submit an application. Also, let us know if you have a presence online with a portfolio, GitHub, Dribbble or other platform. • By clicking the "Submit Application" button below, you give your express consent to process your data for this vacancy according to the Recruitment Privacy Notice. • You can withdraw your consent at any time by contacting [email protected]. • You can find more information about how GlobalLogic processes your personal data and what your rights are in the Recruitment Privacy Notice.