Data Engineer @ Antal
(práce v Polsku)

Data Engineer @ Antal

Polsko

•    Experience of data engineering, ETL processes
  
•    At least 7 years of professional experience in SQL development
  
•    Experience in GCP, Big Query
  
•    Experience with data build tools (DBT)
  
•    Experience with Airflow, Cloud Composer
  
•    Experience of data modelling
  
•    Experience with data streaming, e.g. Kafka
  
•    Experience with BI tools – mainly Looker Studio
  
•    Experience making trade-offs when designing schemas and marts
  
•    Experience with implementing automated data quality solutions
  
•    Experience in orchestration and scheduling
  
•    Experience working in a DevOps environment, i.e. think, build, and run
  
•    Experience with Continuous Integration, Continuous Delivery

What are we looking for?
We need your help to continue improving and grow, and thats what is why we are hiring.  

We are not perfect… perfection would stand in the way of progress.  We are looking for all sorts of people in our teams, but our focus right now is engineers at all levels, from graduates to experts in their field.  

In particular, we’re looking for engineers who are happy to roll up their sleeves and get stuff done.  
If there is something in the way of us getting working software into the hands of our users, we step in and get it moving – whether that means doing some analysis, coding, testing or releasing.  

We value specialism but we dont have fixed roles - our firm belief is that everyone must contribute to software in production.  

We are looking for people who are flexible in their approach and who are happy to try new things and experiment, and be comfortable in throwing experiments away to start again if they don’t work.  

We are looking for people that enjoy technology and are happy to play. You dont need to have prior experience working for an investment bank. In fact, wed love to hear from more people working outside banking to see if they can bring a twist to what we do and help us grow our culture 

Purpose of the job
The Analytics & Insights team is part of the CTO DevOps Services department, responsible for providing the metrics and analytical products that drive iterative improvement in DevOps practices across the bank. We have team members across Europe, India and Latin America working across metrics, insights and providing the platform capabilities that underpin these and are scaling up our engineering team in Poland to support the creation of greenfield cloud data platform capability along with supporting ecosystem components. The successful candidate will join an existing multi-disciplinary team of data engineers and be focused on defining and implementing data transformation pipelines, data marts, ETL processes etc. in partnership with other team members to take raw data and turn it into enriched datasets, dashboards and metrics for our customers.

,[Responsibility for metrics implementation: data ingest, data quality, refinement and presentation design, development, testing, coding, and deploying to production , Operating and iterating a cloud data platform capability to support our internal goals , Focus on quality, time and budget constraints  , Communicating efficiently within the team and business stakeholders , Working with global diverse teams , Working in an Agile product-oriented culture] Requirements: SQL, GCP, Data build tool, Airflow, Cloud, Data modelling, Kafka, BI, Looker Studio, DevOps, Continuous integration, Continous delivery

Kategorie

data

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