Senior/Lead Data Engineer (Databricks) (#6046)

N-iX LTD; Polska; Hybrid; PLN 260,000 - 420,000; Full time

Job summary

N-iX LTD is seeking a Leader in Data Platform Engineering to shape the technical direction of our data platform, build reusable frameworks, and improve data quality and platform reliability. You will mentor engineers, define testing and CI/CD standards, and apply AI pragmatically to boost productivity while balancing delivery speed and operational costs.

Work includes elevating developer experience, establishing data contracts, and collaborating with domain experts to deliver scalable pipelines

Qualifications

• Extensive experience designing scalable data platforms and production pipelines.
• Experience leading technical design and mentoring engineers.
• Strong software engineering with reusable frameworks and automation.
• Expertise in data modeling, schema evolution, and data contracts.
• Experience with automated testing, CI/CD, and quality gates.
• Proven ability to improve observability and platform reliability.
• English level C1+ and strong cross-team collaboration.

Responsibilities

• Shape the technical direction of the data platform.
• Design reusable frameworks, tools, and automation for pipelines.
• Define testing standards, CI/CD, and quality gates.
• Develop data modeling approaches and schema evolution.
• Improve observability, data quality, and developer experience.
• Turn delivery challenges into scalable platform capabilities.
• Apply AI to engineering workflows with guardrails.
• Lead design discussions and mentor engineers.
• Document best practices and promote standard platform patterns.
• Evaluate decisions by time-to-value and cost-to-serve.

Skills

Data platform engineering

Tech leadership

Programming

Data architecture

CI/CD testing

Platform reliability

Data quality

Developer experience

AI in engineering

Architectural judgment

English proficiency

Collaboration

Job description

Poland

Work type:

Office/Remote

Technical Level:

Leader

Job Category:

Software Development

Project:

Digital asset operations platform

Join our team to shape the technical direction of a data platform that makes complex industrial data usable, reliable, and scalable. Build reusable frameworks, internal tools, and automation that simplify customer onboarding and help engineering teams deliver safer, more consistent data pipelines. Work closely with engineers and domain experts to strengthen data quality, platform reliability, and developer experience while applying AI pragmatically to improve engineering productivity.

Our Client was established with the mission to fundamentally transform the execution of capital projects and operations. Designed by industry experts for industry experts, our Client’s platform empowers users to digitally search, visualize, navigate, and collaborate on assets. Drawing on 30 years of software expertise and 180 years of industrial legacy as part of the renowned Scandinavian business group, Client plays an active role in advancing the global energy transition. The company operates from Norway, the UK, and the U.S.

Key Responsibilities:

• Shape the technical direction of the data platform, tooling, and engineering standards
• Design and improve reusable frameworks, internal tools, and automation for data pipeline development
• Define standards for testing, CI/CD, quality gates, and platform reliability
• Develop reusable approaches to data modeling, schemas, data contracts, validation, and schema evolution
• Improve observability, data quality, lineage, and developer experience across the platform
• Turn recurring delivery challenges into scalable platform capabilities that reduce customer onboarding effort
• Apply AI to engineering workflows, establishing clear guardrails and measuring its impact on productivity and quality
• Lead technical design discussions, mentor engineers, and guide architectural decisions and technical trade-offs
• Document best practices and support the adoption of standard platform patterns across teams
• Evaluate architectural decisions against time-to-value, cost-to-serve, and delivery predictability

Requirements:

• Data Platform Engineering: Extensive experience designing, building, and evolving scalable data platforms and production data pipelines
• Technical Leadership: Experience leading technical design, mentoring engineers, and establishing engineering standards across teams
• Programming: Strong software engineering skills, with experience developing reusable frameworks, tooling, and automation for data processing
• Data Architecture: Strong understanding of data modeling, schema evolution, data contracts, and validation across multiple source systems
• Testing and CI/CD: Practical experience implementing automated testing, integration testing, quality gates, and deployment pipelines
• Platform Reliability: Experience improving observability, diagnosing operational issues, and building reliable data services
• Data Quality and Lineage: Experience implementing approaches that detect data issues early and make data flows easier to understand and troubleshoot
• Developer Experience: Ability to simplify engineering workflows and turn repeated manual work into reusable, maintainable tools
• AI-Assisted Engineering: Ability to identify practical AI use cases, evaluate their effectiveness, and define safeguards for quality and reliability
• Architectural Judgment: Ability to balance technical quality, delivery speed, operational cost, and long-term maintainability
• English Proficiency: C1+ with the ability to communicate technical concepts and architectural decisions clearly
• Interpersonal Skills: Strong collaboration skills and the ability to build alignment across engineering teams and domain experts

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing

Project: Global biopharmaceutical company