Data Engineer (Databricks / Spark)
Primary stack
Nice to have's
Job description
About the Position
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.
We are looking for 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.
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
Requirements
- 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
About the Company
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.
© TechBar. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
Techbar is the engineering partner formid-sizedcompanies and enterprises that need their technology to be a source of strength — not a bottleneck.We make tech by people, for people — rebuilding outdated systems into secure, scalable, and cloud-ready platforms that drive real business growth.Modernization with Techbar starts with clarity: understanding what’s broken before reinventing it. From there, we take on the hardest engineering challenges and untangle its complexity, architect resilience, and transform legacy platforms.The result is predictable, scalable technology that frees teams from constant firefighting and creates space for innovation.Our core expertise:🔹 Software Modernization — refactoring legacy systems into modular, secure architectures that cut costs and reduce risk.🔹 Data Engineering — turning fragmented data into reliable, real-time insights and AI-ready pipelines.🔹 Cloud Solutions — migrating and optimizing enterprise workloads for performance, scalability, and cost efficiency.With founders who are practicing engineers, over a decade of enterprise experience, and senior-led, cross-skilled teams, Techbar turns this vision into reality every day by raising the bar in engineering on every project.Techbar — Raising the Bar in Engineering.