Data Architect DataBricks

Praha
Data
Automotive
Technology:
AWS
Azure
Cloud
Data warehouse
SQL
Contract type:
Full-time
Contract
Seniority:
Senior

Job description

At Trask we believe in the power of technology and have been discovering, designing and delivering the most progressive technologies to successful companies since 1994, helping to shape the future of Europe. Strong partnerships with our clients allow us to develop our products and competencies and embark on large and complex projects that push the boundaries of what is possible, especially in the areas of banking and fintech, insurance, industry and utilities.  


At Trask we believe in the power of technology and have been discovering, designing and delivering the most progressive technologies to successful companies since 1994, helping to shape the future of Europe. Strong partnerships with our clients allow us to develop our products and competencies and embark on large and complex projects that push the boundaries of what is possible, especially in the areas of banking and fintech, insurance, industry and utilities.  

Job description

Designing and Developing Data Infrastructure Architecture:

  • Creating and optimizing data warehouses, data lakes, and other platforms that support analytics, machine learning (ML), and additional applications on the Databricks platform.
  • Implementing scalable and efficient data models.

Required qualifications

Technical Skills: 

  • Advanced expertise in Databricks, Apache Spark, Delta Lake, and database technologies (SQL, NoSQL).
  • Familiarity with machine learning tools (e.g., MLflow).
  • Experience with cloud platforms (AWS, Azure, GCP).
  • Proficiency in programming languages such as Python, Scala, or R, commonly used in Databricks.

Analytical Thinking:

  • Ability to design and implement complex data architectures, requiring a deep understanding of challenges associated with big data.

Big Data Experience:

  • Proven track record in designing and managing infrastructure for big data and distributed systems.

Security Awareness:

  • Knowledge of data security principles and practices, including access control and encryption.

What are we offering

  • Customized working hours: Flexible scheduling tailored to your individual needs.
  • Vacation and time off: Guaranteed 5 weeks of vacation and 3 sick days.
  • Flexible work environment: Ability to work from home, company offices, or directly at client sites.
  • Education: Training, conference attendance, e-learning programs, and language courses.
  • On-site refreshments: Diverse selection including cookies, fruit, coffee, and hot chocolate.
  • Seamless mobile communication: 50 GB of mobile data + unlimited company-paid calling. Discounted O2 Family tariffs for family members.
  • Choice of benefits: MultiSport card, pension insurance contribution, discounts (Alza, pharmacies, tickets, and other experiences).
  • Additional employee perks: Access to employee loans, discounts with business partners, opportunities for volunteer work, and participation in team-building activities. 

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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