Ignitis group

Tech / AI / Software

SENIORDATAENGINEER(F/M/D)

vilnius, vilnius, lithuania FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for executive candidates.

The Brief

“SENIOR DATA ENGINEER (F/M/D) at Ignitis group. Skills: data engineering, Python, SQL, data pipelines, Microsoft Fabric, data modelling, ETL/ELT, warehouse/lakehouse concepts. Building and operating reliable, scalable data pipelines using Python, Airflow and Microsoft Fabric. Integrating data from 50+ sources (on-prem, cloud, APIs) into a unified data platform”

What You'll Achieve.

contribute to the creation of a green and secure energy ecosystem; create a 100% green and secure energy ecosystem for current and future generations; development of energy independence in Lithuania and beyond

Industry & Context.

Tech / AI / Software
Problems you'll solve

Owning the challenge

What They're Looking For.

Must Have

5+ years of experience in data engineering, SQL and Python skills, Expertise with data modelling, ETL/ELT and warehouse/lakehouse concepts, Expertise with building data pipelines using common orchestration tools such as Airflow, Experience leading and implementing data governance frameworks and data cataloging tools, Comfortable with mentoring and growing more junior team members

Nice to Have

Experience or familiarity with Microsoft Fabric or Microsoft Azure in general, Experience with dbt

What You'll Do.

Building and operating reliable

scalable data pipelines using Python

Airflow and Microsoft Fabric

Integrating data from 50+ sources (on-prem

APIs) into a unified data platform

Designing and evolving lakehouse/warehouse patterns

and transformation layers

and compliance-by-design across pipelines and storage

Leading technical solution design end-to-end — from requirements to production rollout

Ensuring data quality

and compliance with organizational and regulatory standards

How You'll Work.

Team & Collaboration

Mentoring and growing more junior team members

Process & Methodology

Leading technical solution design end-to-end — from requirements to production rollout

Full Job Description

Do you want to contribute to projects shaping the future of energy in the Baltics and beyond? Ignitis Group shared service center is a part of the Ignitis Group – a renewables-focused integrated utility. Our purpose is to create a 100% green and secure energy ecosystem for current and future generations. The Centre boasts a diverse range of competencies that not only ensure the smooth operation of daily activities across the Group but also support the energy transition in the Baltic Sea region. We are involved with all the Group’s products, from solar parks to electric vehicle charging stations. Given the scope and variety of projects, our team includes specialists in multiple disciplines, such as law, IT, HR, communications, procurement, and more. Every colleague, regardless of their area of expertise, contributes to the development of energy independence in Lithuania and beyond, extending to neighbouring countries. www.ignitisgrupe.lt We are looking for a colleague, who would join the Data Engineering Team and help us develop Data solutions in a cloud based Microsoft Fabric data platform. Advanced data analytics will be one of our key sources of global competitive advantages. Sales, financial, technical, people, smart metering and a lot more of Ignitis group energy data solutions. If that speaks to you, we’d be happy to welcome you to our team! Take YOUR part in #EnergySmart! You will contribute to the creation of a green and secure energy ecosystem by: * Building and operating reliable, scalable data pipelines using Python, Airflow and Microsoft Fabric * Integrating data from 50+ sources (on-prem, cloud, APIs) into a unified data platform * Designing and evolving lakehouse/warehouse patterns, data models, and transformation layers * Owning data quality, observability, security, and compliance-by-design across pipelines and storage * Leading technical solution design end-to-end — from requirements to production rollout * Ensuring data quality, security, and compli

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