Senior Data Engineer

Senior Data Engineer
Bucureşti
Bucharest, Bucharest, Romania

Responsibilities:

Design, build, and maintain robust data pipelines and data models using tools such as Python, Databricks, Azure Data Factory, Snowflake, MS Fabric and MS SQL to ensure accurate, reliable, and scalable data flows from source to dashboard. Work may also involve other modern data platforms and cloud technologies as needed

Create dynamic, interactive Power BI dashboards and reports tailored to meet business needs. Ensure visualizations are
- friendly, visually compelling, and deliver meaningful insights for
- makers

Ingest, transform, and model large datasets efficiently. Optimize ETL/ELT workflows, SQL queries, and Power BI data models to deliver
- performance analytics solutions

Partner closely with business users and data consumers to gather requirements, define KPIs, and translate business objectives into technical data pipelines and analytical models

Continuously monitor and improve data pipeline and dashboard performance. Implement best practices in data validation, quality checks, and system optimization to ensure fast, reliable reporting

Maintain comprehensive documentation for data pipelines, models, dashboards, and processes to support transparency, reproducibility, and
- team collaboration

Stay current with the latest developments in data engineering, BI tools, and cloud technologies. Proactively recommend and implement improvements to enhance efficiency and analytical capabilities.

Job Requirements

Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field

5+ years of
- on experience working across the data lifecycle, including data engineering, modeling, and business intelligence development, whether in a single
- stack role or through multiple complementary positions

The ability to showcase previous work through a Git
Hub repository, portfolio of reports/dashboards, or other demonstrable project examples is highly valued

Technical Proficiency:

Proven experience designing, developing, and maintaining end-to-end data solutions across both data engineering and business intelligence domains

Strong proficiency in Python for data processing, automation, and integration

Hands-on experience with Azure Data Factory (ADF), Databricks, and Microsoft Fabric for building and orchestrating ETL/ELT pipelines

Solid understanding of data warehousing and data modeling principles (e. g. , star/snowflake schemas, dimensional modeling)

Proficiency in SQL and experience with MS SQL Server, Snowflake, Postgre
SQL,  and Oracle / PL-SQL

Exposure to No
SQL databases such as Mongo
DB and big data ecosystems (e. g. , Spark, Delta Lake, Azure Data Lake, Hadoop, or similar distributed data technologies)

Familiarity with data integration tools and API-based data ingestion is a plus.

Business Intelligence & Visualization:

Advanced expertise in Power BI, including Power Query (M language), DAX, and data model design

Ability to create interactive, visually compelling, and
- optimized dashboards for business stakeholders

Understanding data storytelling, KPI design, and user experience principles in dashboarding

Performance & Optimization:

Skilled in query tuning, data pipeline optimization, and efficient model design for large datasets

Experience troubleshooting performance issues across both backend and BI layers

CI/CD:

Experience implementing CI/CD pipelines for data workflows and BI assets using Azure Dev
Ops, Git, or similar tools

Familiarity with source control management for Power BI datasets, notebooks, and data pipeline code

Ability to manage deployment workflows in Microsoft Fabric

Understanding branching strategies, code review processes for data and analytics projects

Commitment to maintaining
- controlled, auditable, and reusable analytics solutions across the data stack

Data Science (Nice to Have):

Experience with data science and statistical analysis, including exposure to machine learning models, predictive analytics, or forecasting techniques

Familiarity with R or Python libraries such as
- learn, pandas, or Tensor
Flow for data exploration and model development.

The preceding job description had been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties and responsibilities required of employees assigned to this job.  What we offerYou will find here not only a challenging and interesting workplace, but also a rewarding work experience, with competitive compensation and benefit packages:

A dynamic and multinational environment with dedicated professionals who are ready to share their knowledge with you; 

Soft skills and technical training for current and emerging products and technologies;

Career development: opportunity to grow within the team;

Special referral bonuses for recommending your friends;

Private Medical subscription;

Meal tickets;

Extra vacation days;

Flexible working hours and work from home, aligned with project needs;

Friendly team who is eager to meet you.

Diversity & Inclusion Here at the Stefanini Group, we value plurality and equity, regardless of race, sexual orientation, disability, age, ancestry, religion, gender, and nationality. We understand and encourage the importance of being you! What's next? The recruitment process starts with an HR discussion, followed by a technical test and a final talk with the hiring manager.  About us

We are the Stefanini group, a global tech consulting company of Brazilian origin that believes in the power of people to transform businesses through technology.

We are present in over 40 countries and operate with the purpose of
- creating solutions TOGETHER WITH OUR CLIENTS that accelerate results and improve the experience of people and organizations.

Here, we like to say that technology is not the end, but the means: what really matters are the people who drive it all.

Our mindset is AI First, meaning we invest in
- edge technology in everything we do, focusing on results for our clients.

We are a company, A GROUP, that breathes collaboration and offers a dynamic environment where you will learn by doing, grow alongside the team, and have space to contribute with ideas and projects.

More than just talking about digital transformation, we believe in real transformation that starts with people and impacts real businesses.

If you are looking for a place to develop, innovate, and be part of something bigger, the Stefanini Group is your place.