Data Engineer

4 tygodni temu


Warsaw, Polska Hirexa Pełny etat

Job Title: DATA ENGINEER Location: WARSAW Employment Type: PERMANENT 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: For one of our partners, we are seeking a DATA ENGINEER who will be responsible for DATA ENGINEER with SQL, ETL, PYTHON, API . The ideal candidate will possess the necessary skills and experience to contribute to the success of our partner organization. Key Responsibilities ● Analyze engineering, operational, and productivity data to uncover trends, risks, and opportunities ● Design and implement data models that improve accessibility, structure, and long-term maintainability of engineering metrics. ● Build or enhance ETL pipelines to collect, transform, and export data from various systems (e.g., GitHub, Jira, Security Scans, Costs tools). ● Partner with stakeholders to define meaningful KPIs across engineering domains (e.g., reliability, security, velocity). ● Explore and implement GenAI tooling to support automation, summarization, and pattern detection in engineering workflows. ● Maintain data hygiene and enforce best practices in data governance and lineage within the API Engineering environment. Required Skills and Experience ● Proven experience as a Data Analyst or Data Engineer , preferably in a software engineering or DevOps context. ● Strong SQL skills and experience with Python or another scripting language for data transformation and analysis. ● Hands-on experience working with APIs and integrating data across SaaS tools (e.g., Jira, GitHub, Datadog). ● Familiarity with dashboarding/visualization platforms like Looker, Grafana or Tableau. Demonstrated experience structuring unorganized or siloed data into actionable reporting models. Desirable: ● Experience designing and building ETL pipelines and data lakes or warehouses (e.g. Snowflake). ● Exposure to GenAI tooling and experience applying AI to engineering or operational workflows. ● Knowledge of modern data orchestration tools (e.g., Airflow, dbt). ● Understanding of software development lifecycle and metrics used in engineering productivity and platform health. What You'll Gain: ● A unique opportunity to shape how engineering data is used across a large and evolving platform organization. ● The chance to make a difference using GenAI tools in a real-world engineering context. ● Collaboration with a team driving developer experience, reliability, and engineering consistency at scale. How to Apply: If you are interested in this opportunity, please submit your resume. We look forward to hearing from you


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