09/23/2026 updated
100 % available
Senior Data/Software Engineer
Krakow, Poland
Only remote
Master of Applied Mathematics, Lviv Polytechnic National UniversityAbout me
10+ years in software architecture & data engineering. I help businesses build highly scalable backend systems & robust Lakehouses using Databricks, dbt, Snowflake, Python and AI-driven development. Operating as a reliable EU-based B2B contractor to drive your tech goals.
AI AgentsdbtChatGPTSql Data WarehouseApache AirflowAtlassian JiraBusiness Intelligence DevelopmentBig DataCloud EngineeringData ArchitectureData InfrastructureData IntegrationExtract Transform Load (ETL)Data Manipulation LanguagesData Transformation
ETL Design & Data Pipeline Engineering
Expertise in designing and implementing ETL processes for ingesting and consuming data across modern data platforms including Databricks, Snowflake, AWS, and Azure. Proven track record of building scalable data pipelines covering the entire data lifecycle using tools such as dbt-core, Airflow, AWS Step Functions, and Azure Data Factory.
Cloud Data Architecture (AWS & Azure)
Deep hands-on experience with AWS services (EC2, S3, Lambda, EMR, Step Functions, Glue, DynamoDB, OpenSearch, RDS Postgres) and Azure services (ADF, Power Apps/Automate, Azure Functions, Azure Blob, Key Vault) for building and orchestrating cloud-native data solutions.
Python & Scala Development
Strong programming skills in Python and Scala, applied extensively in data engineering, ETL development, backend feature development, and automation across multiple enterprise projects spanning more than 10 years of professional experience.
Databricks & Lakehouse Architecture
Certified expertise in Databricks for designing and optimizing data pipelines, ingesting data into Data Lakes, migrating pipelines from AWS Aurora and Snowflake, and applying modern Lakehouse principles including Delta Lake.
dbt (Data Build Tool)
Practical experience with dbt-core and dbt Cloud for data modeling, transformations, and performance tuning within Snowflake and Databricks environments.
SQL & Database Management
Proficiency in SQL for data querying, transformation, and modeling. Experience with databases including PostgreSQL, SQLite, MySQL, DynamoDB, RDS Postgres, and Cassandra.
Snowflake Data Warehousing
Experience designing and implementing data warehouse solutions in Snowflake, including ETL ingestion via both Azure and AWS data stacks, and building data products for reporting in Power BI.
Java & Scala Backend Development
Background in Java and Scala for backend development, including rewriting business logic, building REST APIs, and supporting microservices architectures across multiple projects.
Version Control & CI/CD
Proficiency with Git, SVN, ClearCase, GitHub, Bitbucket, GitHub Actions, Jenkins, and Bamboo for source control, continuous integration, and deployment automation.
Agile Methodologies & Tech Leadership
Experience leading development teams using Agile methodologies including Scrum, Kanban, and XP. Responsibilities included planning, customer communication, testing coordination, and team leadership across multiple projects.
Expertise in designing and implementing ETL processes for ingesting and consuming data across modern data platforms including Databricks, Snowflake, AWS, and Azure. Proven track record of building scalable data pipelines covering the entire data lifecycle using tools such as dbt-core, Airflow, AWS Step Functions, and Azure Data Factory.
Cloud Data Architecture (AWS & Azure)
Deep hands-on experience with AWS services (EC2, S3, Lambda, EMR, Step Functions, Glue, DynamoDB, OpenSearch, RDS Postgres) and Azure services (ADF, Power Apps/Automate, Azure Functions, Azure Blob, Key Vault) for building and orchestrating cloud-native data solutions.
Python & Scala Development
Strong programming skills in Python and Scala, applied extensively in data engineering, ETL development, backend feature development, and automation across multiple enterprise projects spanning more than 10 years of professional experience.
Databricks & Lakehouse Architecture
Certified expertise in Databricks for designing and optimizing data pipelines, ingesting data into Data Lakes, migrating pipelines from AWS Aurora and Snowflake, and applying modern Lakehouse principles including Delta Lake.
dbt (Data Build Tool)
Practical experience with dbt-core and dbt Cloud for data modeling, transformations, and performance tuning within Snowflake and Databricks environments.
SQL & Database Management
Proficiency in SQL for data querying, transformation, and modeling. Experience with databases including PostgreSQL, SQLite, MySQL, DynamoDB, RDS Postgres, and Cassandra.
Snowflake Data Warehousing
Experience designing and implementing data warehouse solutions in Snowflake, including ETL ingestion via both Azure and AWS data stacks, and building data products for reporting in Power BI.
Java & Scala Backend Development
Background in Java and Scala for backend development, including rewriting business logic, building REST APIs, and supporting microservices architectures across multiple projects.
Version Control & CI/CD
Proficiency with Git, SVN, ClearCase, GitHub, Bitbucket, GitHub Actions, Jenkins, and Bamboo for source control, continuous integration, and deployment automation.
Agile Methodologies & Tech Leadership
Experience leading development teams using Agile methodologies including Scrum, Kanban, and XP. Responsibilities included planning, customer communication, testing coordination, and team leadership across multiple projects.
Experience
Professional experience10+ years
Freelancer since2015
Languages
EnglishFluent
Project history
Lead Data Engineer on a Data Lake, DWH, and Finance project in the Insurance/Real Estate domain. Designed ETL processes for ingesting data into Snowflake via Azure and AWS data stacks, implemented data models and transformations using dbt-core, developed back-end features for customers including database design for MuleSoft, and handled testing, planning, and customer communication. Environment: Azure (Power Automate, Azure Function, ADF, Key Vault, Blob), Snowflake, SharePoint, AWS (S3, Astronomer/Airflow, dbt-core), Github, Github Actions, VS Code, Cortex Code, ChatGPT, SQL, Python, Terraform.
Senior Data Engineer on a Data Lake, DWH, and Finance project in the Language Learning domain. Designed, developed, and optimized data pipelines in Databricks including ETL for Data Lake ingestion, consuming data from Data Lake into Snowflake, migrating pipelines from AWS Aurora and Snowflake into Databricks, and dbt data modeling and performance tuning. Environment: SSM, S3, Aurora (MySQL), Databricks, Snowflake, Github, Github Actions, VS Code, Airflow, AWS Step Functions, AWS Lambda, dbt-core, dbt Cloud, Fivetran, Atlan, Claude Code/Cursor, Astronomer/Airflow, SQL, Python, Scala, Terraform.
Tech Lead on a Data Lake and Third Party Data project. Designed ETL processes using Lambda (Python), Step Functions, EMR (Scala) for data ingestion into Data Lake, and using Lambda (Python), Step Functions, Glue (Scala), RDS Postgres for consuming data from Data Lake. Also designed a REST API for fuzzy matching (serverless). Environment: DynamoDB, RDS Postgres, OpenSearch, Delta (Databricks), Bitbucket, Github, Bamboo, IntelliJ IDEA, AWS Lambda, EMR, Step Functions, AWS Glue, DMS, Datadog, Python, Scala.