19.10.2026 aktualisiert
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100 % verfügbarSenior AI Data Engineer | Python | Spark | LLM / RAG | GCP | AWS | Azure
Warsaw, Polen
Nur Remote
B.Sc. Data Mining, Production Engineering, Warsaw University of Technology, 2018Über mich
Senior Data & AI Engineer | Databricks · GCP · LLM/RAG | 100% remote I’m a Senior Data & AI Engineer with 10 years of experience building data platforms and AI solutions on Google Cloud, AWS and Azure. I take projects from architecture to production and stay responsible for them after go-live.
Skills
AI AgentsAPIsApache AirflowBig DataGoogle BigQueryData ArchitectureData WarehousingData IntelligenceSmart DataAzure Machine LearningAzure Data LakeSQLDatenbank-EnginesGoogle CloudFeature-Engineering
DATA ENGINEERING & PLATFORMS
- Databricks: PySpark, Spark SQL, Delta Lake, Unity Catalog, medallion architecture, performance and cost tuning
- Migration of 100+ workloads to Databricks on AWS
- Google Cloud: BigQuery (partitioning, clustering, MERGE), Cloud Composer, Cloud Functions, Looker Studio
- dbt: layered models, tests, snapshots (SCD2), docs, lineage, CI
- Snowflake, Fivetran, Kafka
- Data warehousing: dimensional (Kimball) modelling, ETL/ELT, incremental loads, data quality
- Entity resolution, golden record / master data
GENERATIVE AI & LLM
- RAG: document parsing, chunking, embeddings, vector search, semantic search
- LLM APIs, prompting, tool use, agent-style workflows behind REST APIs
- Evaluation datasets and metrics (quality, latency, cost), guardrails, PII redaction
- Prompt and model versioning, LLM observability, token-cost monitoring
- Production delivery in a regulated banking environment, passed security reviews
MACHINE LEARNING & MLOPS
- scikit-learn, XGBoost, LightGBM, CatBoost, pandas, NumPy
- Feature engineering, training datasets, batch scoring
- Vertex AI, MLflow, model monitoring and drift checks, Airflow ML pipelines
CLOUD
- GCP: BigQuery, Composer, Vertex AI, Cloud Functions
- AWS: S3, Lambda, IAM, Databricks on AWS
- Azure: Data Lake, Data Factory, DevOps, Data Explorer (KQL), Sentinel, Logic Apps, Entra ID
ENGINEERING & DEVOPS
- Python (OOP, testing, packaging, REST APIs), advanced SQL
- Airflow, Docker, Terraform, CI/CD, Git, Jenkins, Flyway
- Claude Code and AI-assisted development
DATABASES & BI
- BigQuery, SQL Server, PostgreSQL, MongoDB, Oracle
- T-SQL, PL/SQL, SSIS
- Looker Studio, Qlik, Power BI, Tableau
EXPERIENCE
Erfahrung
Berufserfahrung5 - 10 Jahre
Freelancer seit2018
Sprachen
EnglishverhandlungssicherPolishMuttersprache
Projekthistorie
Senior engineer across several data and AI programmes on GCP, Databricks on AWS and Azure. Built a RAG service over internal documents and took LLM features to production with evaluation, monitoring and PII controls. Migrated over 100 workloads to Databricks on AWS with Delta Lake and Unity Catalog. Delivered ML pipelines and batch scoring on Vertex AI. Designed a BigQuery and dbt client data platform from ingestion to reporting marts. Built security data pipelines on Azure feeding AI agents. Technical design lead with architecture decisions, code reviews and mentoring a team of 3.
Team lead on a data warehouse programme for a large insurer. Moved warehouse workloads to Google Cloud with Python ELT. Built ML-ready data pipelines and batch scoring for client data science teams. Integrated CRM, policy and billing systems through APIs and ETL. Technologies: Python, SQL, Google Cloud, CI/CD.
Built warehouse ETL and dimensional models for an insurance programme. Integrated new and legacy systems in agile delivery teams. Technologies: SQL Server, SSIS, data warehousing.