Data Engineer/Consultant (Senior/Staff)

Data Engineer/Consultant (Senior/Staff)

VirtusLab

Hexjobs Insights

Data Engineer/Consultant role focusing on client collaboration, building data pipelines, and ensuring data governance. Requires tech skills in SQL, Python, and Snowflake.

Schlüsselwörter

SQL
Python
Snowflake
dbt
Data modelling
Data quality
Power BI
Azure
Terraform

Vorteile

  • Friendly atmosphere
  • Self-development opportunities
  • Good working conditions
  • Trust and autonomy
  • Flexibility in actions

We are #VLteam – tech enthusiasts constantly striving for growth. The team is our foundation, that’s why we care the most about the friendly atmosphere, a lot of self-development opportunities and good working conditions. Trust and autonomy are two essential qualities that drive our performance. We simply believe in the idea of ​​“measuring outcomes, not hours”. Join us & see for yourself!About the roleThe majority of these roles will be at the forefront of client collaboration and building VL positions in the industry (spearheading projects).You will work closely and directly with a different specialist from the client side. Collaborate with stakeholders to define requirements, develop data pipelines and data quality metrics.You will participate in defining the requirements and architecture for the new platform, implement the solution, and remain involved in its operations and maintenance post-launchYour work will also introduce data governance and management, laying the foundation for accurate and comprehensive reporting that was previously impossible.Build data ingestion & processing pipelines. All of the above with a strong focus on the customer’s needs.Flexibility in action and the ability to overcome obstacles are highly valued in this role.View available projects:ProjectData Foundation & AI EnablementProject ScopeWe are architecting a modern Data Platform for a fast-scaling client in the Insurance sector. Our work consolidates fragmented legacy systems, organises data from a vast number of sources, and establishes a standardised, governed, and future-proof data foundation.We aim to unlock the full value of the company’s data, enabling faster, informed decision-making and providing the backbone for business growth and AI readiness.Tech stackSQL, Python, Snowflake, dbt, Data modelling, Data quality, Power BI, Azure, TerraformChallengesThe primary objective is to deliver a robust data foundation and enable AI capabilities for a client that has grown organically. The work focuses on several key areas:Establishing a production-ready, fully operational Snowflake environment and driving operational excellence.Translating complex business logic into accurate data models to ensure the platform truly reflects business reality.Integrating diverse data sources to build reliable data products and comprehensive data dictionaries.Managing the full Data Engineering and Data Science lifecycle to support production ML and AI experimentation.Taking ownership from concept to deployment.Cultivating an engineering mindset by promoting automation, CI/CD, and rigorous standards.TeamWe are building a small (4-6 people), agile, cross-functional team capable of delivering the complete data platform, from initial architecture to production operations.Roles involved: DevOps, Data Engineer, Snowflake Specialist, MLOps/AI Engineer, Business Analyst (BA). The team will collaborate closely with business stakeholders to ensure effective knowledge transfer and strict alignment with strategic goals.TeamThe team is small but highly motivated, taking on a broad scope of responsibilities as the platform is built and expanded.What we expect in generalA proactive approach and flexibility in action were a mustVery good command of English (written and spoken)Hands-on experience with PythonProven experience with data warehouse solutions (e.g., BigQuery, Redshift, Snowflake)Experience with Databricks or data lakehouse platformsStrong background in data modelling, data catalogue concepts, data formats, and data pipelines/ETL design, implementation and maintenanceAbility to thrive in an Agile environment, collaborating with team members to solve complex problems with transparencyExperience with AWS/GCP/Azure cloud services, including: GCS/S3/ABS, EMR/Dataproc, MWAA/Composer or Microsoft Fabric, ADF/AWS GlueExperience in ecosystems requiring improvements and the drive to implement best practices as a long-term processExperience with Infrastructure as Code practices, particularly Terraform, is an advantageProactive approachDon’t worry if you don’t meet all the requirements. What matters most is your passion and willingness to develop. Apply and find out!A few perks of being with usBuilding tech communityFlexible hybrid work modelHome office reimbursementLanguage lessonsMyBenefit pointsPrivate healthcareTraining PackageVirtusity / in-house trainingAnd a lot more!Apply now

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Veröffentlichtvor 3 Tagen
Läuft abin 2 Monaten

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