Deloitte

Audits companies and advises on tax and technology

Data Engineer - Databricks

Data EngineeringConfirmed live in the last 24 hours

Full-timeBulgariaNo salary listedIn-person

About the Job

Requirements

Have 3–5 years of experience in data engineering.
Have hands-on experience with Databricks and Apache Spark.
Have strong skills in PySpark, Python, and SQL.
Have experience developing production-grade ETL/ELT pipelines.
Have a good understanding of Delta Lake, Lakehouse Architecture, and data modelling.
Have experience with batch and incremental data processing.
Understand Spark optimization and distributed data processing concepts.
Have experience with Azure, AWS, or GCP.
Be familiar with Git and modern software engineering practices.
Be able to independently deliver data engineering solutions from development to production.
Have excellent English language skills and native Bulgarian language skills.

Responsibilities

Design and build scalable ETL/ELT data pipelines using Databricks, PySpark, Python, and SQL.
Develop modern Lakehouse solutions using Delta Lake and Medallion Architecture.
Build batch, incremental, and streaming data processing solutions.
Optimize Spark workloads for performance, scalability, reliability, and cost efficiency.
Implement data quality, monitoring, troubleshooting, and operational best practices.
Configure and manage Databricks Workflows and Jobs.
Support data governance and access controls using Unity Catalog.
Collaborate with Architects, Data Scientists, and business stakeholders to deliver high-quality solutions.
Contribute to code reviews, CI/CD processes, and engineering best practices.
Troubleshoot production issues and continuously improve platform performance and reliability.

Desired Qualifications

Have experience with Unity Catalog.
Have experience with Databricks Asset Bundles.
Have experience with Auto Loader.
Have experience with Structured Streaming.
Have experience with Lakeflow.
Have experience with Terraform.
Have experience with dbt.
Have CI/CD experience.
Have a Databricks Certification.

Who we are looking for

🟢 At Deloitte, we help organizations unlock the value of their data through modern cloud platforms, advanced analytics, and AI-driven solutions. As a Databricks Data Engineer, you will design, build, and optimize scalable data solutions that power critical business insights and future AI initiatives.

You will work alongside Data Architects, Data Scientists, and experienced Data Engineers to deliver enterprise-grade Lakehouse solutions using Databricks and modern cloud technologies. This role is ideal for someone who enjoys solving complex data challenges, building scalable platforms, and taking ownership of solutions from development through production.

💼 What you bring:

3-5 max years of experience in Data Engineering.
Hands-on experience with Databricks and Apache Spark.
Strong skills in PySpark, Python, and SQL.
Experience developing production-grade ETL/ELT pipelines.
Good understanding of Delta Lake, Lakehouse Architecture, and data modelling.
Experience with batch and incremental data processing.
Understanding of Spark optimization and distributed data processing concepts.
Experience with Azure, AWS, or GCP.
Familiarity with Git and modern software engineering practices.
Strong analytical and problem-solving skills.
Ability to independently deliver Data Engineering solutions from development to production.
Excelleng English language skills and native Bulgarian are a must

Nice to have

Unity Catalog
Databricks Asset Bundles
Auto Loader
Structured Streaming
Lakeflow
Terraform
dbt
CI/CD experience
Databricks Certification

Your future role

Design and build scalable ETL/ELT data pipelines using Databricks, PySpark, Python, and SQL.
Develop modern Lakehouse solutions using Delta Lake and Medallion Architecture.
Build batch, incremental, and streaming data processing solutions.
Optimize Spark workloads for performance, scalability, reliability, and cost efficiency.
Implement data quality, monitoring, troubleshooting, and operational best practices.
Configure and manage Databricks Workflows and Jobs.
Support data governance and access controls using Unity Catalog.
Collaborate with Architects, Data Scientists, and business stakeholders to deliver high-quality solutions.
Contribute to code reviews, CI/CD processes, and engineering best practices.
Troubleshoot production issues and continuously improve platform performance and reliability

What we offer

🟢 Why Deloitte

Work on Data & AI projects

Build modern data platforms that enable analytics, machine learning, and AI.

Grow your Databricks expertise

Work with the latest Databricks technologies, cloud platforms, and engineering best practices.

Learn from experienced specialists

Collaborate with Architects, Engineers, and Data Scientists across Deloitte's international network.

Develop your career

Access certifications, continuous learning opportunities, mentorship, and clear growth paths.

Work across industries

Support leading organizations across Financial Services, Retail, Consumer, Energy, Manufacturing, Telecommunications, and Public Sector.

Selection process

Step 1: Application

Submit your CV in English through our careers portal.

Step 2: HR Interview

A conversation with our Talent Acquisition team to discuss your experience, motivation, and career goals in English

Step 3: Technical & Final Interview

Meet our Data & AI team to discuss your Databricks experience, project work, and overall fit for the role.

#LI-NF1

About the Company

Deloitte

Audits companies and advises on tax and technology

Deloitte audits companies and advises businesses and governments on tax, technology, and risk, and it is one of the Big Four, the world's four largest accounting firms. In 1849 its founder became the first independent auditor of a public company, Britain's Great Western Railway. Its auditors check companies' financial reports for errors and fraud before investors rely on them, while its consultants design strategy, install business software, and defend clients against cyberattacks. Clients pay fees for each audit or project, and each country's Deloitte firm is a separate business owned by its local partners. Deloitte was founded in London in 1845 and is based in New York.

Company size: 10,001+
Company stage: Late Stage VC
Total funding: $17.1M
Headquarters: New York, NY
Founded: 1845

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