Senior Data Engineer
Athens, Greece
πριν από 1 μέρα
source : Just Join IT

DB (regular)

Architecture (regular)

Python (master)

Are you a Senior Data Engineer who is ready to challenge yourself to democratize e-commerce and create more technological equality?

Custimy is on the mission to create the Next-Generation Customer Data Platform for all. We are building the right infrastructural software required to activate valuable customer data for everyone.

And, by everyone, we mean to empower smaller E-commerce businesses to have the same opportunities as larger ones for customer attention, acquisition and loyalty.

To support our rocket growth, we’re looking for a knowledgeable Senior Data Engineer to join our exciting Data Analytics team.

You'll be part of our core functionality where you can put your hands on engineering challenges including scalable data pipelines, data warehouse optimization, data lake structuring and general data transformations.

As we are still a new company you will have a lot of impact on the development and the success journey of our start-up.

We have 2 great data engineers on board and we are looking for a person who would be interested to take the lead in our data engineering initiatives.

You’ll make an impact by

  • Designing, implementing, and monitoring data pipelines within our AWS cloud architecture
  • Designing infrastructure for greater scalability, improving pipelines performance
  • Optimizing data models, data storages and data warehouse capabilities
  • Assembling large and complex datasets to meet business requirements, working with different data integrations, their data formats and documentation
  • Exploring ways to enhance data quality and reliability of designed workflows
  • Collaborating with Software Engineers, DevOps Engineers and Data Scientists to facilitate the relevant data flows for all the platform consumers
  • Working with internal stakeholders to assist with data-related technical issues and supporting data infrastructure needs
  • Technologies you’ll be working with

  • Spark as your daily job framework, closest friend and enemy : )
  • Python as the main coding language
  • Glue & EMR as computing services
  • RDS on MySQL, Redshift* as DB services
  • S3 as data lake service with Athena* on top
  • Terraform for IaC related to Data Engineering orchestration
  • CI / CD and Gitlab
  • IDE of your choice (we use PyCharm)
  • planned to be part of our ecosystem
  • Who are we looking for

    You fit this role if you are a data engineer who meets the following points :

  • A degree in Computer Science, Informatics or other quantitative fields with +4 years of professional experience as a data engineer
  • Solid experience with designing scalable ETL / ELT processes which are based on data lake & data warehouse
  • Strong programming skills in Python with an understanding of software engineering principles
  • Good knowledge of Spark API and architecture
  • Experience with AWS cloud services like Glue, EMR, S3, Batch, Aurora, Redshift or Athena is considered an asset
  • Practical understanding of OLAP and OLTP patterns, database optimization and data modelling is considered a big asset
  • Working experience with relational databases like MySQL or PostgreSQL
  • Experience with modern software development stack including CI / CD, repositories, version controls and containerization
  • Remember that you do not need to fulfil all the requirements 100%. We are aware that it is impossible to know everything, especially in a dynamic field like data engineering.

    But we would be happy to receive your application if the majority of the requirements described above have a certain meaning to you.


  • Flexible work times
  • Work from wherever you like (fully remote)
  • Travelling with the team (last time was a trip to Spain)
  • Working with the newest technology and encouraging to find new paths
  • We will fill the role as soon as we find the best match for our team.

    So, if you feel this role is right for you, APPLY NOW!

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