Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

Method is seeking a Senior Data Engineer to join their Data & AI team. This role involves working within multidisciplinary project teams to design and develop robust data infrastructure, pipelines, and scalable data solutions for a range of client engagements. The ideal candidate is technically grounded, consulting-minded, comfortable with ambiguity, and can contribute to client conversations about data architecture, modernization, and AI readiness.

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.

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.

Skills

Python
SQL
Data Modeling
Master Data Management (MDM)
ETL/ELT pipeline development
Cloud data platforms (AWS, Azure, or GCP)
Data governance
Legacy system reverse-engineering
Communication
Microsoft Azure services (Azure SQL, Cosmos DB, Azure DevOps)
API mock development
ERP data structures
Supply chain data structures
Legacy integration modernization (SOAP/WCF to REST)
Database consolidation
Database migration
Orchestration tools (Airflow, dbt, Dagster, Prefect)
Manufacturing domain knowledge
Engineering domain knowledge
Cost modelling domain knowledge
Enterprise integration platforms (MuleSoft)
Machine learning frameworks
Predictive analytics frameworks

Location

London
New York
Charlotte
Atlanta
Bengaluru
Japan
Remote

Work Type

Remote

Experience Level

Senior

Benefits

Continuing education opportunities
Flexible PTO
Work-from-home policies
Pension
Health and dental benefits
Company lunches
Company outings
Snacks
Health and wellness programs

About the Company

Method is a global design and engineering consultancy founded in 1999.
Method believes that innovation should be meaningful, beautiful and human.
Method crafts practical, powerful digital experiences that improve lives and transform businesses.
Method is part of GlobalLogic, a digital product engineering company.
GlobalLogic integrates experience design and complex engineering to help clients imagine what’s possible and accelerate their transition into tomorrow’s digital businesses.
GlobalLogic is a Hitachi Group Company.