Middle/Senior Data Engineer
Description
As a Data Engineer in our company, you’ll work closely with clients across industries to design and implement scalable data solutions tailored to their business needs. This role demands both technical expertise and soft skills, as you’ll be translating complex data requirements into actionable architectures and pipelines while engaging directly with stakeholders.
office remoteEuropean UnionGeorgiaKazakhstanPoland
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; 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.
- Experience working in agile, fast-paced project environments with shifting priorities.
- Willingness to occasionally travel to client sites or participate in on-site workshops (as required).
- 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 is a plus.
- DP-600 and/or DP-700 certification(-s).
- Hand-on experience with Microsoft Fabric.
Responsibilities
- Interact with client stakeholders to understand data requirements, map out existing systems, 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 (Azure, AWS, or GCP) 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 across engagements.
- Document technical solutions and provide knowledge transfer to client teams when needed.
- Support project planning, estimation, and reporting with delivery managers and consultants.
We offer
- Projects for such clients as PayPal, Wargaming, Xerox, Philips, adidas and Toyota
- Competitive compensation that depends on your qualification and skills
- Career development system with clear skill qualifications
- Flexible working hours aligned to your schedule
- Options to work remotely
- Corporate medical insurance covering services of private and public medical centers
- English courses online
- Corporate parties and events for employees and their children
- Gym membership compensation, corporate sport competitions (cybersport included)
- 5 days of paid sick leave per year with no obligation to submit a sick-leave certificate
Any questions?
Mariya
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Middle/Senior Data Engineer
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