🟠 Data Engineering Team Lead🟠

🟠Join us in Luxoft!

🏦Flexible working hours

🩺Private Medical & Dental care & Life Insurance

💰 Paid Referrals

🏋🏽 ♀️ MyBenefit program (sports card, well-being program etc.)

🌎 Internal Mobility program - possibility of rotation between projects, locations, accounts

🎓 LuxTalent platform (webinars, training, courses)

🟠Project Description

Owns the technical direction, quality, and delivery enablement of the data platform within the team. Ensures scalable architecture, reliable releases, and strong engineering practices while enabling the team to deliver efficiently within defined engineering and release standards.

🟠Responsibilities

Architecture & Technical Ownership

• Owns end-to-end technical design across Snowflake, dbt, ADF, and Azure components

• Acts as the final technical decision authority within the team

• Ensures alignment with enterprise architecture and data governance standards

• Maintains architecture documentation and diagrams

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Engineering Excellence

• Defines and enforces coding standards and best practices

• Reviews critical PRs and ensures maintainability and scalability

• Drives performance optimization and cost efficiency

• Continuously improves development efficiency by reducing technical complexity and removing bottlenecks

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CI/CD & Release Ownership

• Owns and improves CI/CD pipelines and deployment processes

• Defines and enforces the release process, ensuring it is standardized and consistently followed

• Establishes release criteria based on Definition of Done, testing, and required approvals

• Ensures all changes meet release criteria before deployment to production

• Oversees and coordinates production releases, including validation of readiness and risk assessment

• Has authority to block releases that do not meet defined quality and governance standards

• Ensures pipelines enforce quality gates (tests, validations, approvals where required)

• Continuously improves release safety and reduces production incidents

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Quality & Definition of Done

• Ensures adherence to Definition of Done (including testing and documentation)

• Works with QA and team to ensure test coverage aligns with acceptance criteria

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Team Enablement & Mentoring

• Mentors engineers and supports technical growth

• Leads knowledge sharing and supports complex problem-solving

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Planning & Delivery Support

• Contributes to sprint planning with technical estimates, risks, and dependencies

• Owns identification and prioritization of technical debt in collaboration with the Product Owner

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Production Ownership

• Leads incident analysis and root cause resolution

• Ensures monitoring, alerting, and data quality validation mechanisms are in place across pipelines and in production

• Maintains runbooks for operational readiness

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Ways of Working

• Collaborates closely with Product Owner and Scrum Master to align technical delivery with business priorities; supports team continuity and helps facilitate meetings when the Scrum Master is absent

• Proactively works with upstream data source teams and other squads to resolve cross-team dependencies, data issues, and production bugs

• Drives technical alignment across teams/squads where shared data models, pipelines, or integrations are involved

• Acts as the primary technical point of contact for external teams and stakeholders

🟠Skills

What is relevant to have

-7+ experience in Data Engineering and development of DWH solutions

-Hands-on experience with Snowflake, dbt, Azure Data Factory

-Experience with Azure Cloud Solutions, Azure DevOps

-Practical experience and understanding of CI/CD processes

-Experience of technical leadership in Agile SDLC

What is nice to have

-Experience with AWS and/or GCP cloud solutions

-Certifications related to DWH

🟠Languages

English: C1 Advanced

🟠Seniority

Senior/Lead

🟠Work mode

hybrid in Warsaw, Wroclaw, Gdansk or Krakow