Our Full Recruiting Process
SeniorDataEngineer(Data&Analytics)
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“Senior Data Engineer (Data & Analytics) at Our Full Recruiting Process. Skills: Data pipelines, Data modeling, ETL, CI/CD. Architect data pipelines. Implement data pipelines”
What You'll Achieve.
Drive infrastructure cost efficiency; Drive advanced analytics capabilities; Drive productivity gains
Industry & Context.
Performance tuning; Data pipeline debugging
What They're Looking For.
Must Have
Deep expertise in SQL, Deep expertise in Python, Command of data modeling principles, Mastery of Spark, Experience architecting CI/CD pipelines, Experience managing automation tooling, Demonstrated leadership in code reviews, Demonstrated leadership in documentation standards, Demonstrated leadership in cross-team knowledge sharing, Excellent communication skills
Nice to Have
Hands-on experience with Databricks, Background in query optimization, Background in data pipeline debugging, Agile/Scrum mindset, Cross-team coordination experience, Exposure to GenAI tools
What You'll Do.
Architect data pipelines
Implement data pipelines
Lead data modeling initiatives
Develop reusable code templates
Develop job configurations
Develop infrastructure-as-code components
Champion AI-assisted development workflows
Take ownership of code quality
Conduct design reviews
Guide architectural decisions
Define engineering standards
Enforce engineering standards
Collaborate with stakeholders
Collaborate with scrum teams
How You'll Work.
Team & Collaboration
Cross-functional stakeholders; Scrum teams; Multidisciplinary teams
Communication Scope
Cross-team knowledge sharing; Communication skills
Process & Methodology
Agile, Scrum
Full Job Description
**Job Location** WARSAW DOWNTOWN OFFICE **Job Description** **SENIOR DATA ENGINEER (Data & Analytics) – WARSAW, SKYLINER office** Senior Data Engineer in Databridge EU team Join us to lead the evolution of Data & Analytics products used by over 2,000 users across Europe. You will own the design, delivery, and optimization of our next-generation data platform, driving infrastructure cost efficiency, advanced analytics capabilities, and productivity gains across European IT and A&I. **What you’ll own and build** * Architect and implement highly scalable, automation-first data pipelines and services using Python, SQL, and Spark with strong emphasis on reliability and performance * Lead data modeling initiatives for complex BI scenarios, including advanced partitioning strategies and incremental refresh * Drive automation and standardization by developing reusable code templates, job configurations, and infrastructure-as-code components to reduce maintenance overhead * Champion AI-assisted development workflows, leveraging GenAI tools to accelerate coding, testing, and documentation while ensuring quality and maintainability * Take full ownership of code quality, conducting thorough design and code reviews, and guiding architectural decisions on data platform components * Define and enforce engineering standards spanning version control, CI/CD pipelines, testing frameworks, and documentation best practices * Collaborate deeply with cross-functional stakeholders and scrum teams throughout the product lifecycle, ensuring delivery excellence and technical alignment **Tech you’ll master and influence** * Advanced Python, SQL, and Apache Spark development * Git-based workflows, CI/CD automation (GitHub Actions, Azure DevOps), and shell/PowerShell scripting * Modern cloud-native data ecosystems (Databricks, Azure Data Services) with a focus on cost-effectiveness and scalability * GenAI-driven developer productivity tools (e.g., GitHub Copilot) for enhanced software craftsmans
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