BC Sector O and G-Cognite-Manager

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

EY GDS | COGNITE DATA ENGINEERING LEAD Oil & Gas | Manager Job Title     Cognite Data Engineering Lead – Manager     Experience Level        10+ Years   Job Description At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. We’re counting on your unique voice and perspective to help EY become even better. Join us and help build a better working world. We are seeking a hands-on Cognite Data Engineering Lead to implement reliable data pipelines, industrial data models and contextualization workflows in Cognite Data Fusion (CDF). You will own implementation quality, make component-level engineering decisions within the agreed architecture, and deliver data that operational applications and analytical solutions can reliably consume. Role Details Key responsibilities include: Extraction and ingestion

Configure supported Cognite extractors and implement API or custom integrations where required. Build source-appropriate incremental loads with persistent checkpoints, retries and restart behaviour; handle pagination, throttling, historical backfills and late-arriving updates. Implement repeatable writes and reconciliation checks so rerunning failed loads does not create inconsistent results. Validate source-to-target counts, time ranges and completeness while preserving identifiers, units and quality information. Diagnose failures involving connectivity, permissions, source changes and malformed records.

Data modelling and transformation

Implement approved spaces, containers, views, data models, instances and relationships. Reuse or extend Core Data Model concepts in line with the solution design. Develop SQL transformations and Python processing for cleansing, normalization, mapping and enrichment. Implement stable identifiers and source crosswalks, including collision checks for repeated tags across sites. Preserve distinctions between equipment, functional locations and changing assignments; test schema changes and execute migrations without breaking dependent consumers.

Contextualization and Oil & Gas data

Implement identifier-based matching, rules and supported contextualization services to connect operational and engineering records. Link time series, maintenance activities and documents to the correct equipment or functional location. Validate matches against reference mappings, assess coverage and false matches, and route unresolved cases for domain review. Maintain mappings when tags, equipment assignments, hierarchies or document revisions change. Preserve upstream well and wellbore identities, provenance, tests and intervention history; preserve downstream equipment relationships, units, laboratory timing, and links between diagrams, documents and measurements.

Testing, deployment and application handoff

Write and review production Python and SQL code with automated tests. Test completeness, freshness, uniqueness, relationship integrity, time-zone handling and recovery after interruption. Maintain configuration in Git and automate supported deployment using Cognite Toolkit. Monitor extraction, transformation and workflow execution with actionable logs and failure handling; configure least-privilege access. Deliver documented consumer views and example SDK/API queries, verify access and performance, maintain runbooks, and identify design changes requiring architecture review.

Must Have Qualifications & Experience

A relevant engineering, computer science or information systems