sharing the costs of sports activities
Pracodawca zakończył zbieranie zgłoszeń na tę ofertę
Data Engineer
Addepto
contract of employment
17 000–25 600 zł gross / mth.B2B contract
20 100–30 200 zł net (+ VAT) / mth.- offer expired 3 months ago
- contract of employment, B2B contract
- full-time
- specialist (Mid / Regular), senior specialist (Senior)
- full office work, home office work, hybrid work
- Immediate employment
- remote recruitment
- запрошуємо працівників з України
Work location
Poland (remote work)
Запрошуємо працівників з України
Роботодавець відкритий для працевлаштування громадян України
Addepto
Świeradowska 47
Mokotów
Warszawa
Technologies we use
Expected
Python
Java
Scala
SQL
NiFi
Docker
AWS
Microsoft Azure
Splunk
About the project
For our team based in Warsaw and remotely, we are looking for a Data Engineer focusing mainly on designing and constructing data processing architecture.
We are open for candidates with different expertise levels (Mid/Senior/Lead), who want to develop further their skills and experience in this role.
Some of our recent Big Data projects:
• Data lakes which stores terabyte of data and process machine learning tasks for big telecom company
• Streaming applications to server data analytics in real-time for manufacturing companies
• Systems that support the decision-making process and help to analyze data in a unified format for controlling and operations departments
• Support real-time machine learning prediction on massive datasets which prevents company losses for pharmaceutical companies
• And more!
Your responsibilities
Design and construction of scalable data processing architecture
Using Big Data and BI technologies (e.g. Spark, Kafka, Hadoop, SQL)
Building an application that will aggregate, process, and analyze data from various sources
Cooperation with the Data Science department in the field of Machine Learning projects (including text/image analysis, building predictive models)
Manage distributed database systems like ClickHouse, BQ, Teradata, Oracle Exadata, PostgreSQL + Citus
Modeling, Star and Snowflake schema
Develop and organize data transformations in DBT and Apache Airflow
Translate requirements from the business and translate them into technical code
Ensure the best possible performance and quality in the packages
Manage business user’s expectations
Our requirements
Higher education in technical and mathematical studies (or the last year of studies)
Commercial experience in the implementation, development, or maintenance of Business Intelligence or Big Data systems
Knowledge of Python or Java or Scala
Experience in SQL
Good command of the English language (min. B2)
Independence and responsibility for delivering a solution
Excellent knowledge in Dimensional Data
Good communication and soft skills
Lead discussions, requirement sessions, should be able to comprehend, summarize and finalize the requirements
Knowledge of Spark, NiFi, Docker, AWS or Azure, Splunk
This is how we organize our work
This is how we work
- in house
- you can change the project
- you have influence on the choice of tools and technologies
- you have influence on the technological solutions applied
- you have influence on the product
- you develop the code "from scratch"
- you focus on product development
- agile
- scrum
Team members
- technical leader
- big data developer
- data scientist
- project manager
Development opportunities we offer
conferences abroad
conferences in Poland
development budget
external training
intracompany training
substantive support from technological leaders
support of IT events
technical knowledge exchange within the company
time for development of your ideas
What we offer
Work in a well-coordinated team of passionate enthusiasts of Big Data & Artificial Intelligence
Fast career path and opportunity to develop your qualifications thanks to sponsorship for trainings, conferences and many other development possibilities in various areas
Challenging international projects for global clients and innovative start-ups
Friendly atmosphere, outstanding people and great culture – autonomy and supportive work environment are crucial for us
Flexible working hours – you can adjust your schedule to better fit your daily routine
Work-life balance – we respect your private life so you don’t have to work overtime or on weekends
Possibility of both remote and office-based work – modern office space available in Warsaw, Cracow, Wroclaw, Bialystok or coworking space in any place in Poland if needed
Any form of employment – we offer B2B, employment contract or contract of mandate
Paid vacation – 20 fully paid days off if you choose B2B or contract of mandate
Other benefits – e.g. great team-building events, language classes, trainings & workshops, knowledge sharing sessions, medical & sports package, and others
Benefits
private medical care
sharing the costs of foreign language classes
sharing the costs of professional training & courses
remote work opportunities
flexible working time
integration events
no dress code
coffee / tea
Recruitment stages
1
Let's get to know each other (30 min)
2
Online Task (optional)
3
Technical Interview (1h)
4
Personal Qualities Interview (1h)
Addepto
We are Addepto where you can feel a startup atmosphere! We believe that the only constant in life is change, so we try to keep developing and improving to become better at what we do every day! We act outside the box and create and deliver the best solutions in Machine Learning, Big Data, and Business Intelligence.