Data Engineer

Hi there! 

We are the biggest European Python Powerhouse with over 18 years of experience. Join a group of 500+ professionals dedicated to helping customers build outstanding products. 

Are you the NEXT one?

Core values

We believe that every problem has a solution, often hidden and not so obvious. Our job is to work out them and the best are born from imagination, cooperation and being craftsmanship.

How do we work?

We work with clients for their benefit and the benefit of their target users. We often act as consultants and architects, people who tear down the existing order, introducing changes and innovations. But just as often we act as craftsmen who must deliver software of the highest quality.

How the daily work will look like?

You will be assigned to a team working on a project for one of our foreign clients. Your responsibilities will include developing, inventing and implementing solutions to process large or distributed data.

What is expected of you?

As a Data Engineer, on a daily basis you will work with systems that process data often on a large scale.

🎯 Requirements:

We expect knowledge of:

• Best practices for designing scalable data processing systems, including data pipelines, advanced ETL processes, data warehouses and data lakes.
• At least one cloud platform (AWS, Azure, GCP) and its solutions related to data processing.
• SQL and at least one relational database management system like MySQL or PostgreSQL.
• At least one NoSQL database like HBase, DynamoDB or MongoDB.
• Working principles of distributed data processing systems (Apache Spark, Apache Flink or similar).

Soft skills:

• Good communication skills in English (minimum B2).
• Eagerness to develop yourself and learn new technologies.
• Problem solving and analytical thinking.

Your experience rating will also be affected by your other skills such as:

• Understanding and knowing message broker systems like Apache Kafka or AWS Kinesis.
• Experience in using orchestration tools like Apache Airflow or Dagster.
• Knowledge of search systems like ElasticSearch or Solr.
• Experience in using CI/CD tools like Github Actions.
• Experience in implementing solutions using frameworks like Hadoop, Hive or Presto.
• Experience in machine learning or statistics.
• Other development skills like REST API or GraphQL.
• Data scraping experience.

🎉Benefits:

✔Work-life balance

We are open to discussing individual needs. Set up working hours and limited remote work scheduled with your team and manager, in a way that works for both sides.

✔Reimbursed private medical care (Medicover) and Multisport

We care about the health and well-being of our colleagues. Choose a sports card and dedicated medical care for yourself and your relatives.

✔Leader’s support

Conferences’, internal trainings’ and permanent meetups’ speakers – join the STX Next crew and work with true enthusiasts and professionals!

✔Technology focus

Python and JavaScript are not our only strengths, we are also very good at React Native, IoT, Machine Learning, .Net, DevOps and Blockchain.

✔Growth review

Junior, Regular or Senior? Every half a year we have a chance to discuss acquired skills and prepare a development plan for upcoming months.

✔Workation

Team trips where you have a chance as a team not only to work together, but also integrate f2f.

📜Recruitment process:

1. Hi!

Are you interested in our offer? Feel free to apply by attaching your CV and we will contact you within 24 hours.

2. Let's get to know each other

Google meeting - The meeting will last no more than 1h.

3. Show us what you can do

Technical verification is a good time to show your superpowers! The technical interview is a meeting based on tasks, a case study, and practical and theoretical questions. The meeting will last approx. 2h.

4. Time for a decision

We value your time and commitment- regardless of the outcome of the recruitment process, we will return to you with a decision and extensive feedback. Upon completion of the recruitment, we will also be happy to know your feedback about our recruitment process.