Data Engineer

Praha
Data
Automotive
Energy
Financial Services
Insurance
Technology:
AWS
Azure
Cloud
Python
SQL
Contract type:
Full-time
Contract
Seniority:
Medior
Senior
Expert

Job description

Trask is a company full of hundreds of IT experts who have been bringing cutting-edge technologies to the Czech and European market for more than a quarter of a century. We have the largest integration department in Central Europe and are expanding into the USA.

Our Data Science team uses data and its power to help businesses make the right strategic and operational decisions. We work with large clients in the financial sector, optimize processes at ŠKODA, create real-time recomendation engines... And that's just a small sample. Join us, we are currently looking for a Data Engineer.


Trask is a company full of hundreds of IT experts who have been bringing cutting-edge technologies to the Czech and European market for more than a quarter of a century. We have the largest integration department in Central Europe and are expanding into the USA.

Our Data Science team uses data and its power to help businesses make the right strategic and operational decisions. We work with large clients in the financial sector, optimize processes at ŠKODA, create real-time recomendation engines... And that's just a small sample. Join us, we are currently looking for a Data Engineer.

Job description

  • Collaboration in an agile team
  • Participating in the design and implementation of optimal data delivery architecture to support the needs of software developers, data analysts and data scientists
  • Setting up CI/CD processes
  • Proactive customer access, prototyping, regular development presentations and finetuning of the chosen solution
  • Use of English language depending on the project
  • Collaboration throughout the product lifecycle, from analysis, through implementation to documentation of the final solution

Required qualifications

  • You are proactive, you can play in a team and independently and you can be relied on
  • You have a university degree in mathematics, engineering or economics
  • You know how to program in Python, PySpark and SQL and have a good understanding of data
  • You have experience with Azure cloud environments (Azure Databricks, Azure DevOps, Azure Pipelines, Azure Data Lake Storage, Azure App Insights) or AWS
  • You are familiar with relational and non-relational database systems (PostgreSQL, MongoDB, Delta Lake)
  • Experience with Snowflake an advantage
  • Certification in data engineering a plus
  • Experience preparing data for deep learning model development is a welcome bonus
  • Active knowledge of the Czech or Slovak language is essential

What are we offering

  • A team of professionals who have a similar setup to you. They want to work independently while having the backing of a larger team. They can support each other.
  • Combined work from home and office
  • 5 weeks off and 3 sick days
  • Professional trainings and conferences, e-learning within Udemy and Pluralsight, online language courses
  • Benefits of your choice: multisport, pension, pharmacy purchases, tickets, experiences
  • High-quality technical equipment, business tariff

Advantageous skills

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We design and deliver cutting edge IT projects for enterprise innovators. Any size. End to end.

Your Future Manager:
Tomis Martin
Director
Department:
Data Warehouses | Data Science & Customer Intelligence
Expert Articles

Interested in this position?

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Our 5 stage recruitment process

Send us your CV or LinkedIn profile, and by the next business day, you’ll hear from us. Glide through the first interview and your future manager will be keen to meet you for a follow-up chat. Impress there, and an offer will be on the table before you know it. Yes, it's as straightforward as it sounds.

If your role is technical, we like to ensure a perfect fit with a simple test task. Consider it a sneak peek into the exciting challenges you'll tackle with us.

1

Submit your resume or LinkedIn profile, so we can meet you.

2

Begin our conversation with a call or e-mail.

3

First interview to discuss your potential and role.

4

Second interview with
a test task

5

If everything clicks, we give you a job offer.

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