Data Engineer
4 tygodni temu
Job Title:Data Engineer
Location:Warsaw,Poland
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.
Job Description
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.
Position Overview:
For one of our partners, we are seeking a Data Engineer who will be responsible for Grafana,ETL. The ideal candidate will possess the necessary skills and experience to contribute to the success of our partner organization.
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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