Data Engineer (Databricks / Spark)

We’re Techbar — a tech services company led by seasoned delivery professionals and engineers.

We help startups, product companies, and digital businesses build and scale software teams through staff augmentation, dedicated squads, and full-cycle product delivery.

Role Overview

We are looking for a a Data Engineer to build modern lakehouse platforms and scalable analytics solutions for our clients. You will work with cloud-native data stacks, help design reliable ELT pipelines on Databricks, and support data-driven decision-making across multiple products.

Key Responsibilities

• Design, build, and maintain scalable ELT/ETL pipelines on Databricks
• Develop and maintain data transformations and analytics models using PySpark, Spark SQL, and Delta Live Tables
• Work with the Databricks Lakehouse Platform and Delta Lake as the primary data platform
• Optimize Spark jobs, cluster configuration, and pipeline performance
• Collaborate with analytics, BI, and product teams to deliver reliable datasets
• Implement data quality checks, monitoring, and testing (e.g., DLT expectations)
• Work with orchestration tools (Databricks Workflows, Airflow, or similar)
• Maintain documentation and data lineage using Unity Catalog
• Apply medallion architecture (bronze/silver/gold) for reliable, layered data
• Support analytics and reporting use cases
• Improve data platform scalability and reliability

Required Skills and Experience

• 5+ years of experience in Data Engineering or Analytics Engineering
• Strong SQL skills and experience optimizing complex queries
• Hands-on experience with Databricks (Spark, Delta Lake) or a similar lakehouse/big data platform
• Experience with PySpark and Spark SQL for data modeling and transformations
• Experience building data pipelines in cloud environments
• Experience with orchestration tools (Databricks Workflows, Airflow, or similar)
• Python for data processing and automation
• Understanding of data modeling concepts (star schema, dimensional modeling, medallion architecture)
• Experience working in Agile teams
• Good English communication skills

Nice to have

• Experience with Unity Catalog and data governance
• Experience with Delta Live Tables and/or dbt on Databricks
• Experience with modern data stack tools (Fivetran, Stitch, Airbyte, etc.)
• Experience with streaming data pipelines (Spark Structured Streaming, Kafka)
• Experience with BI tools (Power BI, Tableau, Looker, etc.)
• Experience with data quality frameworks (Great Expectations or similar)
• Experience with cloud platforms (AWS, Azure, or GCP)

We offer

• Remote-first collaboration model
• Long-term international projects
• Competitive compensation
• Career and professional growth opportunities
• Work with modern data technologies and global clients