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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and managing data pipelines, particularly with Kafka and Apache Iceberg on AWS, while ensuring compliance with personal data regulations. Proficient in SQL and capable of making informed design decisions that balance performance and cost.
Highest-signal resume keywords
Kafka Production ExperienceApache Iceberg ImplementationData Pipeline DevelopmentSQL ProficiencyPersonal Data Handling
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software Engineering FundamentalsProduction CodingTesting ExperienceData ModellingAI Coding Tools UsageCI Pipeline FamiliaritySchema EvolutionData Warehouse ManagementPerformance EvaluationData Access through Athena
Soft Skills
Design Decision MakingEffective Communication
Tools & Technologies
AWSGitTerraformDuckDBAWS Lake Formation
Industry Keywords
Data ContractsAvro SchemasPersonal Data ErasureRetention PoliciesAccess Control
Tech Stack
Tools & technologiesApacheAWSJavaKafkaKotlinSQLTerraform
About the role
Key responsibilities & impact- Build and run services ingesting Kafka topics into Apache Iceberg tables on AWS
- Implement partitioning, compaction, deduplication, and historical-data backfills
- Write clean, well-tested, maintainable production code
- Use AI coding tools with good judgement
- Contribute to code reviews and shared engineering standards
- Work with data-producing teams on data contracts, Avro schemas, field-level classification, schema evolution rules, and CI checks
- Implement personal-data erasure, retention, and per-agency access control
- Build the query layer for the customer-facing data API
- Provide data access through Athena
- Evaluate technical approaches and measure performance and cost
- Document technical decisions
- Migrate dashboards, reports, and finance extracts to the new platform
- Build a curated layer of shared metrics and business-ready datasets for BI tools and an AI analytics assistant
Requirements
What you’ll need- Must currently live in Poland
- Must have the legal right to work in Poland
- Advanced English proficiency at B2 level or higher
- Solid software engineering fundamentals
- Production coding and testing experience
- Comfortable working with Git and CI pipelines
- Daily use of AI coding tools with careful output review
- Good SQL skills
- Experience building or running data pipelines
- Solid grasp of data modelling
- Experience running a lakehouse or data warehouse in production
- Production experience with Kafka and schemas, ideally Avro
- Experience handling personal data, including privacy, retention and access control
- Ability to make design decisions and explain trade-offs in writing and conversation
- Nice to have: JVM experience with Kotlin or Java
- Nice to have: Apache Iceberg, Terraform, AWS Lake Formation, or DuckDB experience
Benefits
Comp & perks- Fully remote work arrangement
- Contract role
- Opportunities to build a data platform from the ground up
- Hands-on experience with a modern lakehouse stack: Iceberg, Athena, Lake Formation, Kafka and Avro on AWS
- Opportunity to shape technical direction in a small team
- AI tools encouraged in engineering work
- Inclusive workplace with support for adjustments during the hiring process