All offersKrakówDataData Engineer (mid)
Data Engineer (mid)

Data Engineer (mid)

Type of work
Employment Type
Operating mode

Tech stack

    nice to have
    nice to have
    nice to have
    Apache Spark
    nice to have

Job description

Online interview
Friendly offer

Salary: PLN 16 000 - 24 000 net (B2B) | PLN 13 000 - 20 000 gross (UoP)

Location: Europe, remotely (with access to coworking spaces in your city)

We are a fast-growing tech company created by experienced international talents. Our product is a top-rated online platform for small and medium businesses to grow sales through outstanding customer service. Our goal is to create a frictionless customer experience for individual users and, at the same time, help entrepreneurs worldwide grow their businesses by giving them access to a top-notch AI-driven tool.

Working at Tidio means impacting thousands of companies and millions of their users. But our clients are not the only ones who can grow with us. By joining Tidio, you can grow, too!

A few facts about us:

  • We are among the Top 50 AI and Top 50 Customer Service Products in G2’s Best Software Awards 2024. We currently rate at 4.7/5 in both Shopify and G2.
  • The new Tidio AI feature (Lyro) answers up to 70% of customers’ questions in seconds and is available to users even on a free plan. It’s a real AI revolution! 🚀🤖
  • Every month, our widget is viewed by 350 million unique users, which is 4% of the global population. This means 27 million queries to our API daily and over 500k WebSocket connections in the peak time
  • Currently, we hire over 180 fantastic people and over 60 in the Engineering and Infrastructure teams. The plan is to grow the team even bigger soon.
  • In March 2022 we secured $25 mln in a Series B Investment round (read 👉 TechCrunch’s article to learn more)
  • In June 2023, our monthly MRR exceeded $1M.

Would you like to see what working with us looks like? Check out our #GrowWithTidio video 🎥👇

Discover the Heartbeat of Tidio's Data Team:

Our mission? Deliver insights that guide stakeholders in product strategy and ensure the health of our services. We're a robust blend of data engineers, analysts, and scientists, navigating the vast dimensions of data collection, transformation, and maintenance.

As a Data Engineer, you will:

  • Have the opportunity to maintain and extend our data platform (modern data stack)
  • Closely cooperate with Data Analysts, Data Scientists, and Developers in your team on the productization of data solutions and building data culture within the company
  • Be responsible for monitoring data consistency and running data consistency tests
  • Build and maintain a solid, scalable data infrastructure using Containerisation, Continuous Integration/Deployment best practices
  • Participate in solution design and code peer-reviews to help establish and share best DataOps practices
  • Work across our current stack (Snowflake, dbt, Airflow, Docker, Python, Apache Spark, Terraform, Monte Carlo) and play a role in implementing new solutions (Debezium, Apache Icebearg)

You are the perfect fit if you have:

  • Advanced SQL – able to create views and join several datasets efficiently
  • Intermediate Python (or any other programming language) scripting skills (Pandas, requests, SQLAlchemy, fastapi)
  • Experience setting up and maintaining data flows with Airflow (or any other software of this type, e.g. Luigi, Prefect)
  • Familiarity with cloud technologies (e.g. AWS) and object stores (e.g. S3)
  • Experience cleaning, wrangling, and flattening non-normalized data (e.g. JSONs)
  • Ability to correctly understand business processes and translate business requirements into technical ones
  • Drive for self-development – following the latest trends and publications in the field of your specialization on an ongoing basis
  • Ability to speak English freely

You will earn extra points for:

  • Experience requesting data from APIs (JSON)
  • Familiarity with distributed data analysis/data processing platforms (e.g. Apache Spark, Snowflake, Dask, Trino, Databricks).
  • Experience working with Docker containers.
  • Experience using code-versioning systems (e.g. Git) to collaborate on code with others.

We would like to offer you:

  • A real impact on the company’s growth 🚀
  • Remuneration 16 000 - 24 000 PLN net in the case of a B2B contract or 13 000 - 20 000 PLN gross on the contract of employment
  • Work with an experienced team that continually shares knowledge and is not afraid of testing new solutions;
  • Great development opportunities – company-supported courses and conferences;
  • Possibility to use one of our 2 offices in Poland (Warsaw or Szczecin), or book a coworking space in your city;
  • 26 days off guaranteed in a year;
  • Individual work tools – Macbook Pro, Dell screen, JBL headphones? You can tailor the equipment to your needs;
  • Sport & wellness benefit or its financial equivalent;
  • Private medical care or its financial equivalent;
  • Mental well-being program – individual therapy sessions and resources for employees;
  • Budget for 1:1 English language classes;
  • Free access to one of the most popular e-book/audiobook services;
  • Regular integration events (company-wide meetings, team events);
  • Our famous onboarding bagels on your first day!

What happens when you send your CV?

  • Screening intro call with a recruiter [45 min]
  • Task to be done at home [a few hours spent in the evening or two]
  • Call with the Data Engineering Team (feedback on the task with additional questions) [1-1,5h]
  • Interview with Gwidon (Data Engineering Lead) about your experience [1-1.5h]
  • Offer and fireworks! 🎉

Don't hesitate and apply right away!

Diversity Statement

One of Tidio’s core values is to play fair. Therefore, we treat all candidates equally. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status. This means recruitment and selection of talent to Tidio is only based on individual merit and qualifications directly related to professional competence.

We now rate at 4.6/5

90% recommend us to a friend👇

Read our reviews