Team Lead - Data Engineer

Data

Bukowińska 22, Warszawa

Clouds on Mars Sp. z o.o.

150 - 190PLN

Net per hour - B2B

Full-time

B2B

Senior

Remote

Tech stack

Polish

C1

English

C1

DWH

advanced

MS Azure

advanced

ETL

advanced

Synapse

advanced

Databricks

advanced

CI/CD

regular

AI

regular

Fabric

junior

Job description

We are seeking a Team Lead - Data Engineer with proven expertise in leading consulting projects for external clients across various industries, delivering advanced data solutions using Microsoft Azure, Fabric, Databricks, and modern data engineering technologies. In this role, you will work directly with external clients on modern data platform implementations, while also supporting the development, performance, and engagement of a team of engineers working across multiple projects.

We are currently looking for Team Lead - Data Engineer with experience in AI/ML or a strong interest in developing their skills in this area. Candidates with relevant expertise or growth potential in this field will be given priority during the selection process.

Responsibilities:

• Design and deliver scalable ETL/ELT pipelines, data models, and reporting solutions using technologies such as Azure Data Factory, Synapse, Fabric, Databricks, and Power BI.

• Architect modern data platforms (data warehouse, data lake, or lakehouse) with performance, scalability, and reliability in mind.

• Collaborate with technical stakeholders to translate business requirements into robust, production-ready data solutions.

• Contribute to CI/CD processes, code quality standards, automated testing, and documentation.

• Act as a senior technical contributor across one or more client projects in a consulting setting.

• Act as direct people manager for a team of data engineers, responsible for performance reviews, development planning, and career coaching.

• Conduct regular 1:1s, provide feedback, and support skills growth through mentoring and learning opportunities.

• Balance and allocate team members across multiple projects, ensuring workload clarity and capacity planning.

• Foster a healthy, collaborative team culture by promoting open communication, continuous improvement, and psychological safety.

• Monitor team morale and resolve delivery blockers that affect individual or team performance.

• Work closely with Project Managers and Technical Leads to align team priorities and remove conflicts or inefficiencies.

• Ensure consistency in delivery standards, team engagement, and cross-project coordination.

• Support team members in navigating overlapping priorities or challenges across multiple engagements.

• Colaborate with HR on implementing people management and development practices

Requirements

• Minimum 5+ years of experience delivering data engineering solutions in a consulting or multi-client project environment.

• Strong technical expertise with the Microsoft Azure ecosystem (Data Factory, Synapse, Fabric), Databricks, and Power BI.

• Solid background in ETL/ELT design, data integration, data modeling, and performance optimization.

• Proven people management experience, including performance evaluation, coaching, and career development.

• Excellent communication skills and ability to engage with both technical and business stakeholders.

• Fluency in English and Polish.

We offer

• Free UNUM health insurance – up to 350 000PLN (advanced 500 000PLN)

• Co-fundating for the PZU, Medicover or LuxMed medical package

• Multisport card

• Access to training platforms (MS certificates, SQL BI, Udemy, internal Delivery Excellence Workshops)

• Possibility: 100% remotely work/ hybrid work / work in office (we meet at the office once a month)

• Flexible working hours

• Simple breakfasts, fruit and snacks in our office

• Always chilled beverages in our office

• Program "It's good to stay with us" - a voucher of PLN 2 500 for an employee with 3-year seniority for any purpose

• Paid referral system - get up to PLN 8000 for referring an employee

• A small gift on each anniversary of work at Clouds on Mars

• Quarterly budgets for integration

Published: 04.08.2025

Office location