103.748 vacatures

23 sep 2024

Data Engineer

Branche Zie onder
Dienstverband Zie onder
Uren Zie onder
Locatie Zaandam,
Zaanstad
Opleidingsniveau Zie onder
Organisatie Yacht
Contactpersoon Zie onder

Informatie

Functieomschrijving

As a data platform engineer, you will be working on our data platform named Thor and User Access Management solution. We are building a self-service data platform with the aim that the platform team is not the bottleneck for development. This means that we are working hard to enable other data engineers to do as much themself whereas we work on improving and optimizing our pipelines and codebase.

A few cool new features we have recently implemented:

- The enablement of streaming data sets

- Custom build User Access Management with fully API based back end

- Documentation that writes itself

If you want to know more of how it is to work in this team, 

Essential Experience Required

Databricks: Data Engineer Associate Certification (level of expertise or certification itself)
Terraform: Associate Certification level
Kafka
Python/Pyspark skills. (The ability to build a highly performant, simple and clearly structured python package that will be used in production)
In depth Azure knowledge (data engineer modules we use are below):
Eventhub/streaming
Storage
Log analytics
Data explorer
Event Grid System Topic
Devops: specifically to bridge gap between development and IT:
Lean software development
Automate infrastructure and processes
Version Control: Mastery in Git (daily use, getting stuff done in Git, Git workflow etc)
Desirable

Kafka optimizations
Databricks Unity catalog
Building RESTful APIs
Further skills level and/or certification:
Databricks: Certified Data Engineer Professional Certification (level skills or certification)
Python: PCAP™ – Certified Associate in Python Programming (level or certification)
Responsibilities 

Append to our data platform to take it to the next level with regards to data processing, quality
Provide a platform that allows structuring of data into a scalable and easily understood architecture
Work in a multi-disciplined team where you'll build a platform that will be used by your data engineer peers to create beautiful business solutions that create customer value drivers
Be able to implement/build methodologies as well as (understand how to) scale them together with the businesses
Maintain a good, current and demonstrable knowledge of adjacent application and market developments both for inspiration and for benchmarking the concepts
Qualifications 

Functie-eisen
5+ years industrial experience in the domain of large-scale data platform teams (building a data product), data engineering
Hands-on experience incl. solid programming experience in data ingestions patterns (streaming)
Curious, proactive, fast learner able to quickly picking-up new areas 
Experience with agile methodologies 
Perfect communication skills
 

Arbeidsvoorwaarden
  • Start date: TBD
  • Full-time (32-40 hours/week)
  • Duration: 6 months with the possibility for an extension
  • Must be based in the Netherlands

Omschrijving

Functieomschrijving

As a data platform engineer, you will be working on our data platform named Thor and User Access Management solution. We are building a self-service data platform with the aim that the platform team is not the bottleneck for development. This means that we are working hard to enable other data engineers to do as much themself whereas we work on improving and optimizing our pipelines and codebase.

A few cool new features we have recently implemented:

- The enablement of streaming data sets

- Custom build User Access Management with fully API based back end

- Documentation that writes itself

If you want to know more of how it is to work in this team, 

Essential Experience Required

Databricks: Data Engineer Associate Certification (level of expertise or certification itself)
Terraform: Associate Certification level
Kafka
Python/Pyspark skills. (The ability to build a highly performant, simple and clearly structured python package that will be used in production)
In depth Azure knowledge (data engineer modules we use are below):
Eventhub/streaming
Storage
Log analytics
Data explorer
Event Grid System Topic
Devops: specifically to bridge gap between development and IT:
Lean software development
Automate infrastructure and processes
Version Control: Mastery in Git (daily use, getting stuff done in Git, Git workflow etc)
Desirable

Kafka optimizations
Databricks Unity catalog
Building RESTful APIs
Further skills level and/or certification:
Databricks: Certified Data Engineer Professional Certification (level skills or certification)
Python: PCAP™ – Certified Associate in Python Programming (level or certification)
Responsibilities 

Append to our data platform to take it to the next level with regards to data processing, quality
Provide a platform that allows structuring of data into a scalable and easily understood architecture
Work in a multi-disciplined team where you'll build a platform that will be used by your data engineer peers to create beautiful business solutions that create customer value drivers
Be able to implement/build methodologies as well as (understand how to) scale them together with the businesses
Maintain a good, current and demonstrable knowledge of adjacent application and market developments both for inspiration and for benchmarking the concepts
Qualifications 

Functie-eisen
5+ years industrial experience in the domain of large-scale data platform teams (building a data product), data engineering
Hands-on experience incl. solid programming experience in data ingestions patterns (streaming)
Curious, proactive, fast learner able to quickly picking-up new areas 
Experience with agile methodologies 
Perfect communication skills
 

Arbeidsvoorwaarden
  • Start date: TBD
  • Full-time (32-40 hours/week)
  • Duration: 6 months with the possibility for an extension
  • Must be based in the Netherlands
Solliciteer direct