Senior Data Engineer

Role Description

We are seeking a Senior Data Engineer to join our Data & AI team. You will work within multidisciplinary project teams across a range of client engagements, contributing to the design and development of robust data infrastructure, data pipelines, and scalable data solutions. You think strategically, are comfortable with open-ended data problems, and can contribute meaningfully to client conversations about data architecture, modernization, and AI readiness. The ideal candidate is technically grounded, consulting-minded, and equally comfortable navigating ambiguity, working across disciplines, and communicating clearly with stakeholders at all levels. Travel for client and stakeholder meetings may be required depending on engagement.

Key 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.

Qualifications

• 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.

Nice to Have

• 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.

Benefits

• Continuing education opportunities
• Flexible PTO and work-from-home policies
• Pension
• 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

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.

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