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Data Engineer

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Trading 212

On-site

On-site

Regular employment

3 - 15 years of experience

Full Time

Sofia, Bulgaria

Responsibilities

Our mission is to enable everyone to build wealth

We reinvent how trading and investing work by creating exceptional products people love.

Fostering a culture of excellence and high velocity is the key to our success.

Today, we serve over 4.5 million clients, with more than €30 billion in assets under management - a testament to the scale and trust we’ve built in just a few years.

What you’ll do

We at Trading 212 take pride in being a data-driven company. You will be joining the Business Intelligence team, which is at the heart of anything and everything data-related. As a Data Engineer, you will play a key role in designing, developing, and maintaining solutions to ensure that the data accessibility and quality standards are upheld throughout the company. As part of your responsibilities, you will:

  • Design and implement robust data integration solutions using optimal ETL patterns, frameworks, and query techniques

  • Architect new frameworks to support and enhance data workflows in line with the current and future business necessities

  • Take ownership of the Data Warehouse platform, actively building, maintaining, and optimizing processes, services, and structures throughout the complete data lifecycle

  • Collaborate with engineering and business teams to design and support the next generation of analytics and reporting systems

  • Promote best practices and provide guidance to internal partners on the effective use and development of our Data Warehouse platform

What you need to have

  • 3+ years of experience in data engineering or a related role, with hands-on work across the complete data lifecycle—from ingestion and transformation, to modelling and delivery

  • Demonstrated ability in advanced SQL, including experience with performance tuning and complex query construction

  • Strong knowledge in Python for data manipulation (Pandas, NumPy, SQLAlchemy, …)

  • Solid understanding of data design concepts, including dimensional modeling and data governance principles

  • Strong analytical and problem-solving skills, with the ability to diagnose data-related issues and design robust, scalable solutions

  • A proactive mindset, with an emphasis on taking ownership of tasks, a willingness to take responsibility for decisions, and a focus on long-term impact

  • Ability to operate in a fast-paced, constantly evolving, and collaborative environment

Nice to have

  • Architectural understanding and hands-on experience optimizing and maintaining robust big-data infrastructures

  • Familiarity with Change Data Capture (CDC) approaches and technologies for real-time data replication (e.g., Binary Logs, Debezium, Kafka)

  • Practical experience applying statistical methods and machine learning techniques to extract insights and build predictive models

  • Proficiency in data visualization tools (e.g., Tableau, Power BI, Redash), with the ability to extract actionable insights from data

  • Passionate about staying up-to-date with the latest industry trends, and a strong advocate for open-source projects

What we offer

  • Challenges that will help you grow and realize your potential really fast

  • Opportunity to make a big Impact - you will build innovative services used by millions of investors to build wealth

  • Work with smart, spirited, helpful, high-performing colleagues with a common goal

  • An environment where nothing is set in stone

  • Appreciation for your talent and ideas

  • Generous remuneration package including annual bonuses

  • Excellent social benefits package, including private health insurance, sports card and 25 days of paid vacation per year

  • Delicious treats and a spacious game room

Are you ready to accelerate your career with us? We'd love to hear from you!

We thank all applicants, but only candidates selected for an interview will be contacted.

All personal data of applicants is protected by the law and will be treated with strict confidentiality.

Required skills

Big Data
Business Intelligence
Machine Learning
Performance Tuning
Python
SQL
Tableau Software
kafka
Data Visualization
ETL tools
Data Warehouse
Power BI
Data Modeling
Data Integration
Data Engineering
Pandas
English
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