Data Engineer
Data Engineer - Databricks | Bulgaria
Sofia
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Description & Requirements
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.
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