Backend Engineer
Senior Databricks Engineer | Bulgaria
Sofiasenior
Apply on the employer's siteRole description
Description & Requirements
Who we are looking for
🟢Shape the future of Data & AI with Deloitte
At Deloitte
, we help leading organizations transform the way they use data, analytics, and AI to solve complex business challenges. As a
Senior Databricks Data Engineer
, you will
play a key role in designing and delivering modern cloud-based data platforms
that power business-critical insights, advanced analytics, and AI-driven solutions.
This is more than a traditional Data Engineering role. You will
own end-to-end solutions
,
influence architectural decisions,
work directly with
clients and stakeholders
, and help shape engineering best
practices across our growing Data & AI practice.
Working alongside Data Architects, Data Scientists, AI specialists, and business leaders,
you will build scalable Lakehouse solutions using the latest Databricks technologies
while contributing to high-impact transformation projects
across industries and international markets
.🎯
💼 What you bring:
- 5+ years
of experience in
Data Engineering. - Strong hands-on
experience with
Databricks and Apache Spark. - Advanced knowledge of PySpark, Python, and SQL.
- Proven experience
designing and implementing
production-grade ETL/ELT solutions. - Experience building modern data platforms and
Lakehouse architectures. - Strong understanding of Delta Lake
, data modelling, and distributed data processing. - Experience with batch and streaming data pipelines.
- Strong knowledge of Spark optimization and performance tuning.
- Experience working with
Azure, AWS, or GCP. - Familiarity with Git,
CI/CD
, testing, and modern software engineering practices. - Strong communication and stakeholder management skills.
- Ability to
lead technical initiatives
and
drive projects independently
from design through production. - Experience mentoring or guiding other engineers is highly valued.
- Excellent English
language skills and
native Bulgarian
are a must
Nice to have
- Unity Catalog
- Databricks Asset Bundles
- Lakeflow
- Auto Loader
- Structured Streaming
- Terraform
- dbt
- MLflow
- Databricks Data Engineer Professional Certification
Your future role
- Lead the design and delivery
of end-to-end
Data Engineering solutions on the Databricks platform. - Take
ownership of projects
from requirements gathering and solution design through
deployment and production support. - Design and build scalable data pipelines using
Databricks, PySpark, Python, and SQL. - Develop modern Lakehouse architectures
using Delta Lake and Medallion Architecture principles. - Deliver batch, incremental, and streaming data processing solutions.
- Partner with Data Architects, Data Scientists
, and business stakeholders to turn complex requirements into scalable technical solutions. - Define engineering standards, reusable frameworks, and development best practices.
- Optimize Spark workloads for performance, scalability, reliability, and cost efficiency.
- Implement data governance and security controls using Unity Catalog.
- Lead code reviews, technical workshops, and architecture discussions.
- Drive CI/CD
, automation, testing, and deployment best practices. - Troubleshoot and resolve complex production and performance challenges.
- Mentor and support Data Engineers,
contributing to a culture of technical excellence and continuous learning.
What we offer
🟢Why Deloitte
Work on Data & AI transformation
Build modern data platforms that power analytics, machine learning, and AI.
Take ownership
Lead solutions end-to-end, from architecture and design to deployment and production.
Learn from the best
Collaborate with experienced Architects, Data Engineers, Data Scientists, and AI specialists across Deloitte's global network.
Accelerate your growth
Benefit from continuous learning, certifications, mentorship, and clear career progression.
Work across industries
Deliver impactful solutions for clients in Financial Services, Retail, Energy, Manufacturing, Telecom, and the Public Sector.
Join a high-performing team
Be part of a collaborative culture focused on innovation, technical excellence, and knowledge sharing.
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, motivations, and career aspirations
in English
Step 3: Technical & Final Interview
Meet with our Data & AI leadership team to discuss your technical expertise, project experience, and overall fit for the role.
We aim to keep our recruitment process efficient and provide timely feedback throughout each stage.
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