Lead Data Engineer

Talanto; Warszawa; Hybrid; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Hybrid work

Office in Warsaw

Job summary

Talanto in Warsaw is seeking an experienced Senior Data Engineer / Data Engineering Lead to own the Data Engineering domain within a BI-focused team. This is a hands-on role with strong SQL, Python, and data modelling skills, collaborating closely with Power BI Developers and Architects.

You will design, develop and optimize data pipelines, build analytical data models, and guide best practices while remaining hands-on. The role is hybrid with two days in the Warsaw office and the rest remote.

Qualifications

• Strong SQL and data modelling experience.
• Hands-on Python and data engineering skills.
• Experience with Azure Data Factory and/or Apache Airflow.

Responsibilities

• Take technical ownership of the Data Engineering area within a BI-focused team.
• Design and develop data pipelines and transformations.
• Build and optimize analytical data models.
• Develop complex SQL-based data transformations.
• Work with Python or comparable Data Engineering technologies.
• Develop and support pipelines using Azure Data Factory and/or Apache Airflow.
• Identify gaps, risks, bottlenecks and opportunities for improvement.
• Troubleshoot data issues end-to-end from source systems to reporting.
• Provide technical guidance to BI Developers and team members.
• Collaborate with Power BI Developers, Architects and stakeholders.
• Ensure data layer provides reliable and scalable foundations.

Skills

SQL

Python

Data modelling

Azure Data Factory

Apache Airflow

Power BI

Data warehousing

Troubleshooting

Data architecture

Tools

PySpark

Spark

Job description

Important: if an employer asks you to log into their system via iCloud or Google, send a code, an SMS or Telegram password, run some code, or install software — refuse. These are signs of fraud.

Hybrid, 2 days from the Warsaw office; the rest remotely

Start: 1 November 2026

Extended background verification is required before onboarding

We are looking for an experienced Senior Data Engineer / Data Engineering Lead to become the key Data Engineering expert within a team primarily composed of BI and Power BI Developers. This is a hands-on technical role, not a people-management position. You will take ownership of the Data Engineering area, help the team make better technical decisions, identify gaps and risks in the current setup, and proactively recommend improvements.

The role

You will initially receive a structured onboarding into the existing data landscape, architecture and ways of working. Once familiar with the environment, you will be expected to operate independently, challenge existing approaches where appropriate and take technical ownership of the Data Engineering domain.

Your responsibilities will include:

• Taking technical ownership of the Data Engineering area within a BI-focused team.
• Designing, developing and improving data pipelines and transformations.
• Building and optimizing analytical data models.
• Developing complex SQL-based data transformations.
• Working with Python or comparable Data Engineering technologies.
• Developing and supporting pipelines using Azure Data Factory and/or Apache Airflow.
• Identifying technical gaps, risks, bottlenecks and opportunities for improvement.
• Troubleshooting data issues end-to-end, from source systems through transformation layers to reporting.
• Providing technical guidance and recommendations to BI Developers and other team members.
• Supporting engineering standards, design decisions and best practices.
• Collaborating closely with Power BI Developers, Architects and business stakeholders.
• Ensuring that the data layer provides reliable and scalable foundations for reporting and analytics.

What we are looking for

• Strong commercial experience as a Senior Data Engineer.
• Advanced SQL skills.
• Strong experience with data modelling and analytical data structures.
• Hands-on experience with Python or a comparable programming language.
• Experience with Azure Data Factory and/or Apache Airflow.
• Good knowledge of Azure-based data environments.
• Understanding of Power BI and modern reporting architectures.
• Strong troubleshooting and root-cause-analysis skills.
• Ability to independently take ownership of complex technical topics.
• Proactive mindset and willingness to challenge existing solutions.
• Strong communication and technical leadership skills.

Valuable additional experience

Experience with technologies such as the following will be beneficial:

• Microsoft Fabric / Fabric Data Factory.
• Spark / PySpark.
• Modern data warehouse architectures.
• Power BI semantic and reporting environments.

What does “Lead” mean in this role?

You will not manage a separate Data Engineering team.

You will remain a hands-on Data Engineer within a BI-focused team while acting as the team's primary Data Engineering expert – taking ownership, providing technical guidance and helping other team members make sound engineering decisions.