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Data Engineering Specialist
  • Warszawa
Data Engineering Specialist
Warszawa, Warszawa, Województwo mazowieckie, Polska
SalesTube
8. 11. 2024
Informacje o stanowisku

To our Intelligence Division team we’re currently looking for:

Data Engineering Specialist


What tasks are waiting for you?

Data infrastructure and integration:

  • Building and maintaining data warehouse and data lake architectures
  • Implementing streaming and batch data processing solutions
  • Developing automated data processing solutions in Python
  • Creating and optimizing SQL queries for complex data transformations
  • Implementing data quality monitoring and validation mechanisms
  • Developing audit trail and access control solutions
  • Optimizing existing ETL processes for performance and cost efficiency
  • Ensuring high availability and scalability 

Business collaboration:

  • Supporting analysts and business teams with data access requirements
  • Providing technical guidance on capabilities and best practices
  • Creating technical and business documentation
  • Participating in data architecture planning


What do we expect?

Technical requirements:

  • Minimum 2 years of commercial experience with Google Cloud Platform
  • Advanced Python skills proven through data engineering projects (pandas, numpy, FastAPI)
  • Advanced SQL skills including complex query optimization, window functions, and performance tuning
  • Practical experience with ETL services in GCP environment (BigQuery, Dataflow, Composer)
  • Knowledge of distributed systems and stream processing
  • Basic understanding of big data technologies (Spark, Flink, Kafka)
  • Experience with infrastructure as code (IaC) tools (Terraform, Ansible)
  • English language proficiency at minimum B2 level

Behavioral requirements:

  • Effective communication skills with business and technical teams
  • Proactive approach to process optimization and automation
  • Ability to independently solve complex technical problems
  • Strong priority management skills and experience in Agile environments
  • Commitment to continuous learning and technology exploration

Nice to have:

  • Familiarity with containerization and orchestration (Docker, Kubernetes)
  • Experience with ML/AI technologies in data pipeline context (PyTorch, scikit-learn, Great Expectations)
  • Experience in creating dashboards in Looker Studio
  • Knowledge of statistical analysis methods and implementation in Python
  • Familiarity with Google Marketing Platform components


What can we offer:

  • Support certification from the most advanced Google tools,
  • Collaboration with experts from the market,
  • 2 hours per week for developing your hobbies or spending time with loved ones (work until 3:00 PM on Fridays),
  • Hybrid work model - true and flexible ;)
  • Pet-friendly office - feel free to take your pet to our office 
  • We make a good team - 96% of our employees are satisfied with working in their teams,
  • Free access to the language platform (eTutor) - you can learn English or German,
  • Unlimited access to the EAP platform to take care for your mental well-being,
  • Private medical care and a MultiSport card,
  • Organizational involvement in climate action - check out our Declaration with WWF Poland,
  • Mutual exchange of knowledge with top experts in the market eg. presentations from the Inspiring Thursdays series, WTFAQ elaborations, and many, many more,
  • Mega Teams - regular strategic meetings of all experts serving a particular client, regardless of their specialization and the company they work for,
  • Internally developed evaluation system: development discussions, a clear career path, individual approach, and the possibility of changing specialization,
  • Additional benefits for employees with at least 5 years seniority (+10 more days off, high insurance coverage),
  • Baby bonus for new parents,
  • Development program - People Manager,
  • Employment contract - after the 3-months trial period, we will offer you a permanent contract,
  • Onboarding program and Buddy to facilitate a quick start,
  • Parking for bikes, gaming room.

How do we hire?



SalesTube is today the largest martech & ecommerce connected agency in CEE. We build the competitive advantage of our clients, brands, and agencies by integrating the following competencies: technological (reselling and implementation), analytical, e-commerce (building e-commerce stores), and media (media digital) in one strategic and enforcement process. Thanks to our expertise in digital media, data and technology using the universal language of numbers, Salestube serves over 150 customers in 30 markets.

What makes us stand out:

  • Martech: We are technologically agnostic. As part of our team, you will develop your knowledge in the area of ​​technologies such as: Google Marketing Platform, Salesforce, Tealium, Synerise and many others. You will have the opportunity to participate in designing and building internal tools - we have over 30 of them today!
  • Data & analytics: integration, modeling and activation in performance management our Intelligence Division team combining the competencies of integration, modeling and data activation based on the following platforms: Google Analytics 360, Adobe, Adform DMP, Tealium, Google Cloud, Salesforce Marketing Cloud and others.
  • E-commerce - the strongest one-stop-shop e-commerce agency: we support 45+ e-commerce brands in the areas of: media, analytics, technology, development. Our clients generated over 10% of the value of the entire e-commerce market in PL in 2020. Join one of the largest and most experienced digital marketing team in the region!
  • One team - in Group One, we have managed to build a unique culture and processes that will ensure the exchange of knowledge and the maximum use of the synergy of our competencies in implementing positive business changes for brands that cooperate with us. It is also a huge field for the development of your competencies.

Want to know more? Follow us!

WWW: https://www.salestube.tech/career/

Facebook: https://www.facebook.com/SalesTube

LinkedIn: https://www.linkedin.com/company/salestube/ 

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