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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