Description
Are you passionate about data and looking to make a significant impact? We’re seeking a dedicated Data Engineer to join our team.
Main responsibilities:
- Technologies: Microsoft Fabric platform and Power BI.
- Requirement Collection: Gather business requirements and translate them into technical specifications.
- Expertise: Act as go-to expert for data platform-related questions.
- Development: Design, develop, and manage reports, scalable data architectures, including databases, pipelines, and ETL/ELT processes.
- Data Quality: Implement strategies for maintaining data quality, lineage, and reconciliation.
- Data Security: Ensure compliance with security, privacy, and accuracy standards.
- Optimization: Improve system performance through testing, troubleshooting, and integrating advanced technologies.
- Platform Support: Support a secure, scalable, and high-performing data platform, monitor key metrics, and identify areas for optimization.
- Collaboration: Work closely with data analysts and business owners to align on needed scope.
- Continuous Learning: Embrace emerging technologies to innovate and future-proof data solutions.
Requirements
- 1+ years of hands-on experience in Data Engineering or related roles.
- Proficiency in SQL and Python for building scalable data pipelines, transformations, ETL workflows, and API integrations.
- Experience in designing, building, and implementing data solutions.
- Experience with data across multiple components and layers within a common platform.
- Creating, maintaining, and driving adoption of data best practices, guardrails, and standards.
- Experience with version control (Git) and CI/CD pipelines for automated testing/deployment.
- Familiarity with data modeling, design patterns, and data architecture best practices.
- Knowledge of data ingestion methods and tools.
- Strong collaboration skills and ability to troubleshoot issues and develop functional solutions.
- Fluent in English (written and verbal).
- Expertise in data mining, data cleansing, and complex transformations of data sets.
Advantages:
- Experience with Data Platforms (e.g., Databricks, Snowflake, MS Fabric), Power BI, Azure Synapse.
- Familiarity with cloud data platforms (e.g. AWS, GCP, or Azure) and their data services (e.g., Lambda, S3).
- Understanding of data quality frameworks and testing (e.g., SQLUnit, dbt, pytest).
- Experience working in an agile development environment.
Benefits
DID WE PICK YOUR INTEREST? GREAT! ADDITIONALLY, WHAT WE OFFER YOU HERE AT RETAL:
- International and ever-growing organization.
- An environment which is eager for creativity and continuous improvement.
- A career where you will learn extensively.
- Opportunity to participate in internal company projects.
- Benefits and bonuses in accordance with internal policies in force (additional health insurance, travel insurance for you and your family’s personal vacations, accident insurance 24/7 and other benefits).
- Hybrid work mode (shedule to be agreed). Will be given all needed equipment to do your job.
- The opportunity to use the sports area in the office building for free.
- Free car parking near the office, bicycle storage in the office building.
WORKPLACE: Hybrid – Narbuto g. 5, Vilnius / home office
Monthly salary is discussed during work interview. The final level of the salary will depend on competences displayed and results achieved. The salary may be further negotiable for candidates of outstanding competence and qualification.
Monthly salary range is 2800-3300 euro bruto.
We inform you that the personal data you have provided will be processed for the purposes of personnel selection, based on your consent expressed by submitting this data, and will be stored until the end of this selection process. Please note that, in order to evaluate your candidacy, we may contact your specified former employers for recommendations and inquire about your qualifications, professional skills, and personal attributes. Once a candidate is selected for the sought position, your data, along with the data of other applicants, will be destroyed.