Time since we first saw it
Day 7
Similar jobs usually come down between day 6 and day 54.
From 11,035 similar postings that came down. Coming down is not always a hire.
Vilnius, Vilnius County, Lithuania
Live, first seen by us 7 days agoEmployment type in the employer’s posting: Full-timeFrom the employer’s posting
Build and operate reliable, scalable data pipelines using Python, Airflow and Microsoft Fabric
Integrate data from 50+ on-prem, cloud and API sources into a unified platform
Design and evolve lakehouse/warehouse patterns, data models and transformation layers
Own data quality, observability, security and compliance across pipelines and storage
Lead technical solution design from requirements to production rollout
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
5+ years of experience in data engineering
Experience or familiarity with Microsoft Fabric or Microsoft Azure in general
Strong 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
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
Day 7
Similar jobs usually come down between day 6 and day 54.
From 11,035 similar postings that came down. Coming down is not always a hire.
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
You will contribute to the creation of a secure and green 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
- 5+ years of experience in data engineering - Strong SQL and Python skills - Expertise with data modelling, ETL/ELT and warehouse/lakehouse concepts
- Experience or familiarity with Microsoft Fabric or Microsoft Azure in general - Experience with dbt Additional Information
- 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
Would be an advantage: - Experience or familiarity with Microsoft Fabric or Microsoft Azure in general - Experience with dbt
Complete your application on jobs.smartrecruiters.com. The employer’s form will show what is required.
Already applied? Track this application
Yes. We’ve followed 2 other Senior Data Engineer jobs there since June 2026. 2 came down, usually after about 10 days.
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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 secure and green energy ecosystem by:
Would be an advantage:
Join a growing and increasingly international team of energy smart people united by a common purpose. We all play our part in creating a 100 % secure and green energy ecosystem for current and future generations.
And the way to achieve this is certainly not to wait for the perfect moment. We believe that the power to act comes from the charge we bring to our work every day. United by purpose. Owning the challenge. Passion for reinvention. Pursuing excellence. These are our mindsets. Together, they yield the energy that drives everything we do. The energy generated by our choices. If you are guided by the same mindsets – we look forward to welcoming you to our team!
As we pursue our strategic goals to increase gender balance in Ignitis Group, we are indicating “f/m/d” next to job titles, meaning we welcome candidates of all genders – female, male or diverse.
Ignitis Group ensures equal opportunities. We welcome all applicants and do not discriminate against race, religion, gender, sexual orientation or gender identity, age, disability or other personal traits unrelated to work obligations.
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% secure and green 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 neighboring countries.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Vilnius, Vilnius County, Lithuania
- Additional paid days for health improvement, short-term illness, volunteering, and accumulated work experience - A hybrid work model (3+2) and flexible working hours - Internal career opportunities
No clear work-authorization passage found. Eligibility is unconfirmed.