Ładowanie...
Senior Data Engineer
Luxoft Poland
AI Insights
Czym naprawdę jest ta rola?Senior Data Engineer
This role is about maintaining and migrating a regulatory reporting system for an investment bank. You will work on an existing Python-based reporting system and lead its migration to Azure Databricks using PySpark and SQL to improve performance and scalability. The position involves close collaboration with risk and compliance teams, automation of manual processes, and ensuring accurate and timely regulatory report generation. It's a hands-on data engineering role within a global agile organization.
Plusy
- ✓Modern tech stack: Databricks, PySpark, Azure, microservices
- ✓Opportunity to lead migration to cloud (greenfield aspects)
- ✓Focus on automation and process improvement
- ✓Relevant for investment banking regulatory domain (interesting and critical)
Na co uważać
- !Work model (remote/hybrid/office) not specified
- !Team size and structure not mentioned
- !'Global agile organization' may imply time zone coordination
- !Emphasis on 'excellent communication skills' could indicate high stakeholder management
- ?Brak jawnych widełek — wynagrodzenie do ustalenia podczas rekrutacji
Codzienna praca
- •Maintaining and enhancing existing Python-based regulatory reporting system
- •Developing PySpark pipelines in Azure Databricks for data processing and transformation
- •Writing and optimizing SQL queries on SQL Server/PostgreSQL
- •Automating manual reporting processes to improve efficiency
- •Collaborating with risk, compliance, and data engineering teams on reporting requirements
- •Implementing CI/CD pipelines (preferably GitLab) for code deployment
- •Performing unit testing and code reviews
- •Translating high-level business requirements into technical specifications
Więcej o ofercie↓
Dla kogo jest ta oferta
Profil idealny
Oferta dla doświadczonych specjalistów (Senior).
Minimum sensowne
A data engineer with at least 4 years of experience in Databricks and Python, proficient in SQL, and with some exposure to Azure and CI/CD. They are willing to work in an investment banking context and can translate business requirements into technical solutions.
Raczej nie dla
This role is not for junior engineers with less than 4 years of experience, nor for those without any financial or regulatory data background. It may not suit candidates who prefer fully remote work (work model unspecified) or those who dislike maintaining legacy systems alongside migration.
Ocena dopasowania
Junior1/5
Mid3/5
Senior5/5
Hands-on5/5
Architekt2/5
Remotebrak danych
Enterprise4/5
Pytania do rekrutera
- ?What is the current team size and composition (data engineers, architects, etc.)?
- ?What is the expected timeline for the migration from Python to Databricks?
- ?Is the work model fully remote, hybrid, or office-based in Poland?
- ?Are there on-call duties or weekend deployments?
- ?What is the nature of the contract: B2B or employment?
- ?Could you describe the recruitment process and timeline?
- ?How mature is the CI/CD pipeline and what tools are used besides GitLab?
Brakujące informacje
- −Salary range
- −Work model (remote/hybrid/office)
- −Team size and structure
- −Recruitment process details
- −Contract type (B2B/UoP)
🔗Podobne oferty
Oferta w skrócie
Widełki nieujawnione
❓—Tryb pracy
📄OtherKontrakt
⏱️Senior · 4+ latDoświadczenie
LokalizacjaWrocław
Źródło
linkedinAktywna
Opublikowano4 maja 2026
Ostatnio sprawdzono7 maja 2026
Wygasa za27 dni
📊Jakość danych
Kompletność50%
Dane częściowe
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