Data Engineer - Allegro Pay
Data Engineer - Allegro Pay
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Job Description
The salary range for this position is (contract of employment):
Mid role:PLN in gross terms
A hybrid work model requires 1 day a week in the office.
Allegro Pay is the largest fintech in Central Europe we are growing fast and need engineers who want to learn and develop while at the same time solving problems related to serving thousands of RPSs. If like us you like flexing your mental muscles to solve complex problems and you would be happy to cocreate the infrastructure which underpins our solutions make sure you apply!
In this role you will be a contributor helping us expand our modern cloudbased analytical solutions. We embrace challenging and interesting projects and take quality very seriously. Depending on your preference your position may be more businessoriented or platformoriented.
We are looking for people who:
Have 2 years of experience in building datadriven solutions using Python
Have practical knowledge in creating efficient data processing applications
Simply like data to be processed efficiently they feel satisfied when they ignite a lot of cores to quickly process terabytes of data
Can optimize SQL queries in traditional engines (SQL Server Oracle) Big Data (Spark) or cloud engines (BigQuery Snowflake)
Have experience in working with large data sets understand database algorithms and data structures (e.g. they know what the difference between merge join and join hash)
Can independently make decisions in the areas entrusted to them and take responsibility for the code they create
Are not afraid of new technologies and want to expand their range of skills
Know how to build and deploy containerized applications on the cloud
Nice to have:
Ideal candidate has DevOps experience knows how to setup CI/CD pipelines and worked with IaC tools like Terraform or Pulumi to deploy and maintain cloud infrastructure
Experienced in programming in statically typed languages (Java Scala C# will be an advantage
What will your responsibilities be
Design monitor and improve data flow processes implemented in Python SQL Airflow and Snowpark
Implement and maintain Data Mesh processes collecting data from many micro services and cloud sources
Work with various data formats and sources utilizing novel storage solutions
Optimize the costs associated with the cloud operations in Snowflake Azure Cloud and GCP
Work with latest technologies such as: Snowflake Airflow dbt .Net Azure GCP Github Actions
Play an active role in decisionmaking processes regarding the selection and implementation of data frameworks
What we offer
We have welllocated offices (with fully equipped kitchens and bicycle parking facilities) and excellent working tools (heightadjustable desks interactive conference rooms)
A wide selection of fringe benefits in a cafeteria plan you choose what you like (e.g. medical sports or lunch packages insurance purchase vouchers)
16 or 14 MacBook Pro with M1 processor and 32GB RAM or a corresponding Dell with Windows (if you dont like Macs) and other gadgets that you may need
Hackathons team tourism training budget and an internal educational platform MindUp (including training courses on work organization means of communications motivation to work and various technologies and subjectmatter issues)
English classes that we pay for related to the specific nature of your job
Why would you like to work with us:
You will work with an experienced team that carries out complex and demanding projects related to realtime processing of data produced by backend and frontend. We design our data processes with software engineering rigour.
You will work on projects related to the area of finance where the scale advancement of algorithms business impact and technical requirements will be a key challenge
You will directly influence data processes that change in real time how millions of users use Allegro
Our employees regularly attend and present on conferences in Poland and abroad (Europe and the USA)
Apply to Allegro and see why it is #dobrzetuby #goodtobehere)
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
