TL;DR

Data Engineer Middle/Senior: Designing and implementing scalable data solutions tailored to clients' business needs with an accent on translating complex data requirements into actionable architectures and pipelines. Focus on deploying cloud-based data platforms and building data lakes, data warehouses, and real-time data streaming systems.

Location: remote European Union

Company

As a Data Engineer, you’ll work closely with clients across industries to design and implement scalable data solutions tailored to their business needs.

What you will do

Interact with client stakeholders to understand data requirements and recommend scalable data architecture solutions.
Develop and maintain robust ETL/ELT pipelines using modern tools and frameworks.
Deploy and manage cloud-based data platforms based on project requirements.
Assist in building data lakes, data warehouses, and real-time data streaming systems.
Ensure adherence to data governance, security, and compliance requirements.
Support project planning, estimation, and reporting with delivery managers and consultants.

Requirements

Bachelor's or Master’s degree in Computer Science, Engineering, Information Systems, or related field.
3+ years of hands-on experience in data engineering roles, ideally in a consulting or client-facing environment.
Strong SQL skills and experience with one or more programming languages (e.g., Python, Scala).
Proficiency with modern data tools such as ETL/Workflow orchestration (Apache Airflow, Azure Data Factory, dbt), Data storage/warehousing (Azure Synapse, Snowflake, BigQuery, Redshift), and Streaming (Kafka, Spark Structured Streaming).
Experience designing and deploying solutions in cloud environments (preferably Azure).
Ability to quickly understand diverse business domains and adapt technical solutions accordingly.
Strong communication skills to interact with both technical and non-technical client stakeholders.
Excellent command of spoken and written English.

Nice to have

Certifications such as Microsoft Azure Data Engineer Associate, AWS Big Data Specialty, or GCP Professional Data Engineer.
Familiarity with tools like Power BI, Tableau, or Looker.
Exposure to data privacy and compliance requirements (GDPR, HIPAA, etc.).
Previous experience in sectors like finance, healthcare, retail, or manufacturing.
DP-600 and/or DP-700 certification(-s).
Hand-on experience with Microsoft Fabric.

Culture & Benefits

Projects for such clients as PayPal, Wargaming, Xerox, Philips, adidas and Toyota.
Competitive compensation that depends on your qualification and skills.
Flexible working hours aligned to your schedule.
Options to work remotely.
Corporate medical insurance.
Corporate parties and events for employees and their children.