Data Engineer

Job Title:DataEngineer

Location:Warsaw,Poland

Employment Type:B2B

About Hirexa Solutions:

Hirexa Solutions is a leading player in the recruitment ecosystem across the United States, United Kingdom, Europe, and India. As the fastest-growing next-generation provider of technology talent, we empower our clients to become resourceful, achieve higher productivity, adopt agile structures, and effectively execute project deliverables.

Envisioned and co-founded by veterans of the Information Technology industry, our mission is to make recruitment efficient, flawless, and cost-effective. Our unwavering commitment to strategic investments in intelligent technology underscores our passion for people and our dedication to helping organizations realize their true potential.

Position Overview:

 esign & build ELT pipelines to ingest and transform data into Snowflake using SQL/Python and dbt (modular, tested models).

·       Model for analytics: create well-structured, analysis-ready datasets; define/maintain KPIs and semantic definitions.

·       Harden data quality: implement tests, lineage, documentation, and CI checks in GitHub; monitor pipeline health.

·       Solve messy data problems: normalize unstructured/inconsistent data (e.g., regex parsing, schema harmonization).

·       Enable insights: partner with analysts and product teams to deliver metrics in Sigma; support dashboard consumers.

·       Collaborate in Agile: work in epics/sprints; prioritize backlog; iterate with stakeholders; contribute to continuous improvement.

·       Champion customer value: align transformations and metrics to real user expectations and product outcomes.

Requirements

·       Strong SQL (performance, CTEs, window functions) and Python for data work.

·       Hands-on Snowflake (warehousing, performance, role/security basics) and dbt (models, tests, docs).

·       Proven experience delivering end-to-end pipelines (extract → transform → model → serve for analytics).

·       Ability to handle unstructured/inconsistent data and normalize across multiple source systems.

·       Experience collaborating with Product/Design/Engineering to define KPIs and metrics.

·       Comfortable with Git-based workflows (branching, PR reviews) and working in a distributed team.

·       Proactive, independent problem-solver; comfortable with ambiguity and iterative discovery.

·       English: B2/C1 (stakeholder communication).

Nice-to-Have 

·       Experience with Sigma (or strong BI fundamentals in Tableau/Power BI and eagerness to adopt Sigma).

·       Data quality frameworks (Great Expectations), data contracts, or semantic layers.

·       Orchestration tooling (Airflow/Prefect/dbt Cloud job orchestration).

·       Exposure to embedded analytics in product environments.

·       Familiarity with regex and text parsing techniques.

·       Cloud experience (AWS/GCP/Azure) around data services and IAM.

·       Basic understanding of ML/LLM-driven analytics workflows.

How to Apply:

If you are interested in this opportunity, please submit your resume. We look forward to hearing from you!