DATA ENGINEER (F/M/D)

As a Data Engineer at Ignitis Group, your main responsibilities include developing and optimizing Data Warehouse (DWH) and Business Intelligence (BI) solutions, modeling data, managing ETL processes, and collaborating with data analysts to ensure effective solutions that fit business needs. You'll be deeply involved in aligning the developed solutions with the architectural requirements of the DWH.

To become a Data Engineer at Ignitis Group, you should have at least 2 years of ETL development and data warehousing experience, solid understanding of data modeling principles, and experience with tools like Data Factory or SSIS. Proficiency in MS SQL Server is essential, and knowledge of Apache Airflow and Python is considered an advantage.

Ignitis Group supports growth for Data Engineers through extensive learning programs, mentorship opportunities, and internal career development options. The culture prioritizes meaningful work and continuous improvement, which enables you to grow within the company and contribute significantly to our sustainability goals.

At Ignitis Group, as a Data Engineer, you'll enjoy a hybrid work model with flexible hours, promoting work-life balance. You'll work in a diverse and international team committed to creating a sustainable energy ecosystem, fostering a collaborative and innovative work culture where all voices are heard and valued.

Yes, excellent oral and written communication skills in both Lithuanian and English are required for the Data Engineer role at Ignitis Group. This is important for effective collaboration within a diverse team and for understanding technical documentation and business requirements.

The ETL process, which stands for Extract, Transform, Load, is crucial in data engineering as it involves moving data from various sources to a data warehouse. Start by explaining how you extract data from different systems, transform it into a usable format, and finally load it into the warehouse. Emphasize its importance in ensuring data quality, consistency, and easy access for analysis.

Discuss your experience with data modeling techniques and how they help in structuring the data warehouse effectively. You can elaborate by mentioning specific projects where you've implemented data models to optimize reporting and analytics, underlining data integrity and usability.

Explain the strategies you've employed to optimize data pipelines, such as data partitioning, indexing, and applying appropriate transformations. Highlight specific cases where optimizations led to measurable improvements in performance and processing speed.

Choose a specific project that posed a problem or challenge, detailing your role and the solutions you implemented. Be sure to explain the learning outcomes from the experience, focusing on new skills or insights gained that you can bring to the Data Engineer role at Ignitis Group.

Discuss your approach to understanding business requirements, such as through meetings and feedback sessions with stakeholders. Emphasize the importance of ongoing communication and validation throughout the project lifecycle to ensure solutions remain aligned with business goals.

List the tools and technologies you've used in previous roles, such as MS SQL Server, Data Factory, SSIS, or Apache Airflow. Be ready to provide examples of how you've leveraged these tools effectively to achieve project objectives.

Talk about your process for identifying and resolving data discrepancies, including regular data quality checks and reconciliation processes. Stress your commitment to data accuracy and integrity, as these are critical in making informed business decisions.

Provide examples of how you've collaborated with cross-functional teams, like data analysts and business stakeholders, to achieve common goals. Highlight your communication skills and how you leverage teamwork to enhance project outcomes.

Discuss the resources you utilize to keep pace with industry trends, such as attending webinars, joining relevant forums, or reading industry publications. Explain how you apply new knowledge and trends in your work.

Articulate your passion for renewable energy and the impact of data engineering in supporting sustainable practices. Emphasize how the mission of Ignitis Group resonates with your career goals and how you can contribute to the company's vision.