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Data Engineer

  • Office

Salary

Not stated

Similar roles pay €45K - 80K a year · our estimate

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Description

Join a growing team of data engineers, architects, and analysts delivering modern data solutions for clients across banking, assurance, and other industries. We work with cloud-native technologies, modern data platforms, and large-scale data migration projects. You’ll gain hands-on experience while learning from experienced professionals. The environment is collaborative, supportive, and focused on continuous development.

About your manager

David is a Senior Manager who leads the Data Engineering team within Data Management in Technology Consulting. Combining the roles of Cloud Data Platform Architect and Delivery Manager, he helps clients build, modernize, and migrate modern data platforms, deliver data migrations in core system replacements, and transform data into tangible business value. David has delivered complex Data & AI projects across Europe and Canada. Outside of work, he is passionate about fishing for zander and staying active through sports.

Are you passionate about data and eager to develop your skills in data engineering, cloud technologies, modern data platforms and data migration? Join our dynamic team and gain hands-on experience working on real-world data projects for a variety of clients.

Responsibilities

  • Assist in the design, development, and maintenance of data pipelines using Databricks, Snowflake, Microsoft Fabric, and cloud-native technologies.
  • Support the automation of data processes including extraction, transformation, validation, and loading of data.
  • Implement integrations between databases, applications, APIs, and cloud platforms.
  • Work with batch processing and, where required, real-time data integration.
  • Investigate technical issues and develop effective and sustainable solutions.
  • Prepare technical documentation and contribute to continuous improvement initiatives.
  • Collaborate with business analysts, data architects, developers, and testing teams.
  • Participate in projects for international and local clients.
  • Learn how enterprise data solutions are designed, built, tested, and operated.
  • Develop towards senior data engineering and architecture career paths.
  • What matters to us
  • University degree in Information Technology or a related field.
  • Strong interest in software development and data engineering, with a logical and analytical approach to problem-solving.
  • Knowledge of Python, Git, databases, and object-oriented programming concepts, combined with a strong willingness to learn.
  • What will help you stand out
  • Experience with data warehousing, data lakes, lakehouse architecture, data modelling, data quality, or master data management.
  • Hands-on experience with cloud platforms such as Azure, AWS, or GCP, Databricks, PySpark, Snowflake, Kafka, Airflow, BigQuery, or similar technologies.
  • Familiarity with CI/CD, Infrastructure as Code, DevOps, or automated testing.
  • Interest in AI, LLMs, and AI agents, with experience using APIs, prompt engineering, or RAG.
  • Why you’ll enjoy working here
  • Professional growth that matches your ambitions and pace. Gain in months the kind of experience that can take years to build elsewhere.
  • Fair pay with no gaps. We are among the few companies in the Czech Republic certified for Equal Pay.
  • A flexible benefits programme with 30,000 points to spend on what matters most to you.
  • 30 days of paid time off , including three well-being days and two additional days off at the end of the year.
  • An opportunity to give back to the community with one paid volunteering day every year.
  • The chance to work from one of the company’s international offices (available from the Senior Associate level).
  • We support your learning and development journey: Benefit from ongoing training and certifications in consulting, business, and technology skills, including Agile and project management, data analytics (Power BI, Python, Alteryx, Tableau), cloud and Microsoft technologies (Azure, Power Platform), business process analysis, and consulting essentials, such as stakeholder management, communication, and presentation skills.
  • A buddy programme , regular feedback, and access to a coach who can support your professional development and career path.
  • Extensive well-being support and initiatives promoting a healthy lifestyle, from Dr. Digital and Human Dynamic programmes to workplace yoga and running events.
  • An ultrabook and an iPhone with unlimited data.
  • Social events and Away Days .
  • At the company , we help clients solve today’s and tomorrow’s challenges across audit, consulting, tax, legal, technology, and data. We create an environment where people can learn, grow, and build a career in their own way. We believe the best results come from diverse experiences and perspectives. That’s why we foster an inclusive culture where everyone can be themselves, build on their strengths, and contribute to work that makes a real impact.
  • Interested in joining us? We’d love to hear from you and tell you more about this opportunity.
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  • LI-NS1

Where you’d work

From the office

About the company

Company hidden

Offices in Prague, Czechia, Czechia

Your chances

Still hiring, not crowded yet, and you'd be among the first.

  • 15 checks run
  • 5 good signs
  • 2 red flags

Still hiring?

10 checks

Actively hiring

In its favour3

  • Still on the company's own careers site, checked 1 h agoModerate evidence
  • Found in the last 48 hours, before the big job boardsModerate evidence
  • On the company's careers site and 1 other place we trackSlight evidence

Against it1

  • Listed again after an earlier listing of the same role closedModerate evidence

How crowded?

5 checks

Low

In its favour2

  • In its Early Window: not on the big job boards yetStrong evidence
  • Asks for BigQuery, which fewer than 1% of open roles doSlight evidence

Against it1

  • Entry level: the most applied-to level there isModerate evidence

Fits Me

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  • Your field
  • Level
  • Stack
  • Work model
  • Salary floor
  • Must-haves
Details9 facts · Role, Location, Compensation, Employment
Tech stack
  • Python
  • AWS
  • Tableau
  • Kafka
  • Azure
  • Spark
  • Databricks
  • Snowflake
  • Airflow
  • BigQuery
  • Power BI
  • LLMs
  • RAG
Type
Full-time
Specialty
Data Engineering
Region
Europe
Pay period
Annual
Show 4 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Engineering
Tech stack
  • Python
  • AWS
  • Tableau
  • Kafka
  • Azure
  • Spark
  • Databricks
  • Snowflake
  • Airflow
  • BigQuery
  • Power BI
  • LLMs
  • RAG

Location

Work model
Office
Region
Europe
Offices
  • Prague, Czechia
  • Czechia

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

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