Senior/Middle Data Engineer

ʼAbout the role

You will join the team that owns the Data Lake: ingestion, storage, transformation and the platform other teams build their pipelines on. The domain is broad on purpose — one week you are tuning a Spark job, the next you are designing a CDC ingestion pattern, writing Terraform, or shaping how a business case becomes a data product.

Your future responsibilities:

• Design and build data pipelines end-to-end: ingestion from heterogeneous sources → cleaning, transformation, enrichment, normalisation/denormalisation → publication — with tests, monitoring and production ownership
• Make and defend the architectural calls in your slice: file/table format, partitioning, incremental vs. full reload, latency/cost trade-offs, failure semantics
• Translate business cases into requirements, architecture and code — and push back when the requirement is the problem
• Find both the fast path for an experiment and the stable path for production, and know which one you are on
• Continuously look for what in our processing should be simplified, automated or deleted

Your skills and experience:

Must have — breadth across the stack:

• Python as a working language for data engineering (not just scripting)
• SQL fluently: window functions, complex joins, reading and reasoning about execution plans
• Spark / PySpark: transformations, aggregations, window functions, UDFs — and enough understanding of shuffle, skew and partitioning to open a Spark UI and explain why a job is slow
• AWS data stack: S3, Glue, Athena, Lambda, Step Functions, IAM (equivalent depth in GCP/Azure is fine)
• Lakehouse fundamentals: Parquet, Iceberg (or Delta/Hudi) — partitioning, compaction, schema evolution, snapshots
• Orchestration: Airflow (or Dagster / Prefect / Step Functions)
• Docker, and comfort running workloads on Kubernetes
• Git + CI/CD, and exposure to IaC (Terraform / Terragrunt)
• Streaming and CDC concepts: Kafka, delivery semantics, late and out-of-order data, idempotent writes
• Debugging as a first-class skill: logs, metrics, a failed job at 9am, and a calm root-cause narrative afterwards
• English: you can read and write technical documentation
• Middle: 2+ years in a dedicated data engineering role. Solid across most of the above, genuinely strong in two or three areas.
• Senior: 5+ years designing, building and operating Data Lake / DWH solutions. Plus: you design things other engineers build on, you mentor, and you can carry a technical decision across team boundaries.

Must have — AI tooling:

• Hands-on experience with coding agents (Claude Code, Codex or similar) on production work: decomposing a task, giving it the right context, iterating to a result you would sign off on
• Critical review of generated code. You do not merge what you cannot explain line by line — correctness, cost and compliance stay yours regardless of who typed it
• Willingness to work outside your strongest area, using AI to get productive in an unfamiliar tool rather than routing the task elsewhere
• Bonus: RAG, embeddings, MCP servers, agent workflows, evals — we use all of these in the platform (metadata search, SQL generation over the lake, data classification, quality checks)

Nice to have:

• A second language beyond Python (Scala, Java, Go, Rust)
• Owning IaC properly: Terraform / Terragrunt modules, not just editing existing ones
• dbt / SQLMesh, data contracts, lineage and catalog tooling
• Analytical databases: ClickHouse, Redshift, BigQuery, Snowflake
• Data modelling background (Kimball, Data Vault) and experience with regulated / audited data environments
• Experience building complex analytical systems end-to-end

We offer what matters most to you:

• Competitive salary: we guarantee a stable income and annual bonuses for your personal contribution. Additionally, we have a referral program with rewards for bringing in new colleagues to Raiffeisen Bank. 
• Social package: official employment, 28 days of paid leave, additional paternity leave, and financial assistance for parents with newborns. 
• Comfortable working conditions: possibility of a hybrid work format, offices equipped with shelters and generators, modern equipment. 
• Wellbeing program: all employees have access to medical insurance from the first working day; consultations with a psychologist, nutritionist, or lawyer; discount programs for sports and purchases; family days for children and adults; in-office massages. 
• Training and development: access to over 130 online training resources; corporate training programs in CX, Data, IT security, leadership, agile, сorporate library. 
• Great team: our colleagues form a community where curiosity, talent, and innovation are welcome. We support each other, learn together, and grow. You can find like-minded individuals in over 15 professional communities, reading clubs, or sports clubs. 
• Career opportunities: we encourage advancement within the bank across functions. 
• Innovations and technologies: Infrastructure: AWS, Kubernetes, Docker, GitHub, GitHub actions, ArgoCD, Prometheus, Victoria, Vault, OpenTelemetry, ElasticSearch, Crossplain, Grafana. Languages: Java (main), Python (data), Go (infra, security), Swift (IOS), Kotlin (Android). Data stores: Sql-Oracle, PgSql, MsSql, Sybase. Data management: Kafka, AirFlow, Spark, Flink. AI: building expertise and actively integrating into processes. 
• Support program for defenders: we maintain jobs and pay average wages to mobilized individuals. For veterans, we have a support program and develop the Bank’s veterans community. We work on increasing awareness among leaders and teams about the return of veterans to civilian life. Raiffeisen Bank has been recognized as one of the best employers for veterans by Forbes. 

Why Raiffeisen Bank? 

• Our main value is people, and we support and recognize them, educate them and involve them in changes. Join Raif’s team because for us YOU matter! 
• One of the largest lenders to the economy and agricultural business among private banks. 
• Recognized as the best employer by EY, Forbes, Robota.ua, Stud-Point, Delo.UA, NV, Odgers, UAFIC. 
• The largest humanitarian aid donor among banks (Ukrainian Red Cross, UNITED24, Superhumans, СМІЛИВІ). 
• One of the largest IT product teams among the country’s banks. 
• One of the largest taxpayers in Ukraine; 6 billion UAH were paid in taxes in 2025. 

Opportunities for Everyone: 

• Raif is guided by principles focused on human development and the well-being of 5,000 employees and over 2.5 million clients. 
• We uphold the principles of diversity, equity, and inclusion. 
• We are open to hiring veterans and people with disabilities and are ready to adapt the work environment to meet your specific needs. 
• We collaborate with students and experienced professionals alike, creating opportunities for growth at every stage of a career 

You matter at Raif! 

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