drjobs CLOUD DATA PLATFORM - SENIOR DATA ENGINEER (F/M/D)

CLOUD DATA PLATFORM - SENIOR DATA ENGINEER (F/M/D)

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1 Vacancy
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Job Location drjobs

Vilnius - Lithuania

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

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 wed 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:

  • Collaborating with data analysts data scientists and business stakeholders to understand data needs and delivering high-quality datasets
  • Integrating data from 40 sources (on-premises cloud APIs) into a unified data platform
  • Leading technical solutions development
  • Designing and implementing robust data pipelines using Python as Azure Function Apps and/or Microsoft Fabric tools including Data Factory Apache Airflow DAGs and Lakehouses
  • Developing and maintaining Data Warehouses Notebooks and Spark-based transformations
  • Developing and maintaining data models ETL processes and BI reports
  • Ensuring data quality security and compliance with organizational and regulatory standards
  • Staying current with emerging trends and best practices in cloud data engineering and the Microsoft Fabric ecosystem

Qualifications :

Requirements:

  • 5 years of experience in data engineering building Data Warehouses of any kind
  • Experience leading and implementing data governance frameworks and data cataloging tools. Strong understanding and experience of data modeling ETL/ELT processes and data warehousing concepts. Experience with Apache Airflow or similar (e.g. Jenkins Dagster)
  • Extensive experience and deep knowledge of SQL (Microsoft SQL Server or other) PySpark Python and Power BI. Experience with Data streaming using Apache Kafka or Apache Pulsar or similar
  • Extensive experience building and optimizing data pipelines architectures and data sets
  • Experience mentoring and growing team members on their daily technical challenges or career technical goals. Good communication skills (Lithuanian and English) ability to work as part of a team
  • Excellent problem-solving skills and ability to work in a fast-paced collaborative environment

Would be an advantage:

  • Experience or familiarity with Microsoft Fabric Azure or its components
  • Any Cloud based Data Platform experience
  • Microsoft Certified: Fabric Data Engineer Associate or similar certifications


Additional Information :

  • A package of additional benefits to choose from: pension accumulation health insurance or another benefit from the selectable benefits list in the MELP application
  • Additional paid days for health improvement short-term illness volunteering and accumulated work experience
  • A hybrid work model (32) and flexible working hours
  • Internal career opportunities
  • Extensive learning and qualification enhancement programs
  • Mentorship-based culture designed to facilitate meaningful and value-driven work
  • Take part in an unfolding energy transformation process to create a 100% green and secure energy ecosystem for both current and future generations

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% green and secure energy ecosystem for current and future generations.

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.


Remote Work :

No


Employment Type :

Full-time

Employment Type

Full-time

Company Industry

About Company

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