Data Engineer

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Data Engineer

Starred is looking for a talented Data Engineer interested in working in a unique domain. Our mission is to Improve People's Working Life by Giving Them a Voice through insights. For this, we need a scalable and future proof analytics platform, which you as Data Engineer will be responsible for. Are you up to the job?

Full-time · Amsterdam

About Us

Starred is the category-leading solution to measure and analyse Candidate Experience. Our clients are innovative companies hiring at scale all over the world. We work with innovative brands across a wide spectrum of industries, from Elastic to Robinhood, and Twilio to Crunchbase.

What you will do as a Data Engineer at Starred

Your primary responsibility will be a big one: you'll be responsible for Starred's data platform, used both for internal and external insights. Not only will you need to make sure this remains as scalable as the rest of the business, but you'll also need to help grow the platform by creating new data pipelines. You'll play a key role in enabling data analysts to provide actionable insights to customers as well as help data scientists roll out machine learning models.

Your Main Challenges

  • Build a robust and scalable data foundation enabling customer insights and advanced analytics.
  • Design, implement, and continuously expand ELT/ETL processes from a wide variety of data sources.
  • Ensure the best user experience by optimising query performance.
  • Roll out Machine Learning algorithms to production.

Your Profile

  • Experience working with AWS (especially S3 , EMR, Redshift, Airflow and Lambda)

  • Experience querying data from databases using SQL

  • Experience working with big data technologies – Spark

  • Experience programming using Python


Nice to have

  • Knowledge of and experience with Docker (Compose)

  • Knowledge of and experience with AWS ECS or Kubernetes is a plus

  • Knowledge of and experience with column-oriented data storage formats (ORC, Parquet) or Presto/Athena is a plus
  • Machine learning knowledge
  • Experience working with BI tools (Looker / Domo / Tableau etc.)
  • Comfortable with Devops and CI/CD process with tools like Jenkins/AWS CodePipeline and AWS CloudFormation (Infrastructure as code)
  • Experience with streaming technologies like Kafka or Kinesis


Measures of Success

  • Delivering high quality products by following data principles.
  • Team player who is proactive about problem solving and brings a positive attitude to get things done.
  • Able to make decisions and prioritise tasks keeping in mind urgency and need of the business.

Benefits

At Starred we really believe flexibility goes both ways. We expect a lot from our team, so we give a lot back. In addition to a competitive salary, we offer:

  • Ownership: We believe true engagement happens when you have both functional and financial ownership. You’ll have every opportunity to make an impact at a fast-growing scale-up and receive Starred stock options.
  • A good primary salary and pension;
  • A good work-life balance, including a laptop;
  • 25 holiday days based on a 40-hour work week;
  • For each year at Starred you will get an extra holiday up to 30 holiday days;
  • Travel allowance;
  • Investment in your development: Individual learning and development trajectories are set with your manager. Whether it’s a course or a conference: if it’s going to help you do your job better than Starred is onboard. We have an unlimited books budget.
  • A hybrid working situation, we love building together and therefor we require you to be at our office 2 days per week.
  • A great office and team culture in the heart of Amsterdam's scale-up scene.