ABOUT THE JOB

As a Data Engineer, you would be working to simplify access to data within the company. Our team delivers data pipelines for a variety of different business areas and use cases.  Data Engineer team are not behind closed doors but are working closely together with BI Product Owners to deliver top-notch data solutions in the reporting / aggregate layer of Data Warehouse.

How You Will Make an Impact:

• Assemble large, complex data sets that meet functional / non-functional business requirements
• Create and maintain optimal data orchestration pipelines
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability
• Work within a Domain Delivery team to assist with data-related technical issues and support their data infrastructure needs
• Explore ways to enhance data quality and reliability
• Remain up to date with industry standards and technological advancements that will improve the quality of your outputs
• Participate in code reviews to ensure quality and provide constructive feedback. Guide colleagues and junior engineers through complex problems and projects
• Establish and enforce coding standards and best practices to maintain consistency and reliability
• Collaborate closely with stakeholders, such as Product Owners. Business Analysts, and Data Scientists, to address complex data-related technical issues and support their data pipeline/business solution needs

What Makes You a Great Fit:

•  Good understanding and working knowledge of DWH (Sybase/Oracle) and RDBMS (MS SQL) – At least 3 to 4 years of experience in SQL is required
• Demonstrated expertise in Apache Airflow is an advantage
• Good understanding and expertise in Data warehouse management and concepts
• Fluent in Python programming and other programming languages would also be a plus
• Exposure to utilize the AI technologies for better productivity
• Demonstrated experience in leading fellow data engineers in problem-solving, mentoring, code reviews, development, and educating the team on best data engineering practices
• Exposure to modern Data Lakehouse architecture
• Great communication skills, both verbal and written, and interest in working with a diverse set of peers
• Ability to build a shared understanding of the problems and determine potential solution
• Ability to be self-organized, balanced and show initiative
• Attention to details
• Genuine enjoyment of the art of building great data solutions
• B.S. or M.S. in Computer Science, Information Systems, Systems Engineering or similar majors
• Proven ability to work in a fast-paced environment with cross-functional project team
• Exposure with common BI and Data exploration tools (e.g., Business Objects, Tableau, PowerBI)
• Fluent English is required in spoken and written communication due to working on the Pan-Baltic level

Why You Will Love Working Here:

• Flexibility. Flexible working hours, Hybrid work, and the possibility to work from anywhere in the EU, Iceland, Switzerland, and the UK (in total 90 days per year)
• International teams. Teams that go outside Pan-Baltic borders, where people value challenging work together with good humor and having fun
• Culture. You’ll be joining a team where things move fast, ideas flow freely, and change is part of the everyday. It’s a dynamic environment that keeps you learning, growing, and never bored
• More vacation. Additional weeks of vacation are available to all employees who have been in the company for 1 year or more
• Volunteer time off. We care about giving back to society, therefore, you will get additional days off for volunteering purposes
• Paid leave. 
• Health benefits. A competitive benefits package in addition to your salary that includes health insurance after the first 3 months pass in all three Baltic states, as well as Health days in case of your absence due to sickness without a doctor’s note needed
• Wellbeing. Access to tools and resources that help you feel good and be productive at work and in life
• Professional growth. Internal and external training programs, LinkedIn learning, workshops, conferences, online training, etc
• Gross salary. 3200 – 4800 EUR/month, which is to be determined depending on your level of experience and competencies

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!
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