Data Engineer

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!