Position: Data Engineer for Just Eat Takeaway
Company: Ciklum
Experience required: 3y
Category: SQL
English level: upper
Published: 2021-02-01T00:00:00+02:00

Just Eat Takeaway.com is a leading global online food delivery marketplace headquartered in Amsterdam and listed on the London Stock Exchange.

We've built our business on having the widest choice available on our platform – connecting millions of customers with over 155,000 restaurants across 24 countries - with over 100 different cuisines from local independents to globally famous restaurants, available to order via our app and website.

We provide the platform and tools to help independent restaurants move online and reach a significantly broader customer base – to generate increased orders and grow their businesses. We also provide the insights, advice, and support our growing community needs to satisfy customers and help raise standards across a vibrant takeaway sector.

We’re built to deliver behind the scenes too. To make Just Eat the great company it is, it takes a great team of people. This is why all of our colleagues are welcomed into a diverse and inclusive workplace where they feel they can belong. We're passionate about nurturing our people and offer a full programme of training and support to our employees – helping them to develop their careers in a way that suits them.

We are looking for a Data Engineer with a focus on data warehousing to join our team! As a Data Engineer, you will form a pivotal part of the business. Within our data-driven company, you ensure that we can deliver our data products and software solutions faster and more reliable than ever before.

As a Data Engineer, you will be responsible for supporting and improving our fast-growing data warehouse. You will need to be able to extract data from various sources, build pipelines to ingest this data, and verify data integrity. You will work in close partnership with our Data Engineer team and use the infrastructure and tools they provided to support our data products and solutions.

Responsibilities:
Structure our data warehouse applying the industry’s best practices
Use your skills and best practices to create reliable, frequently running pipelines
Model data, implement proper data quality governance, and troubleshoot any issues swiftly
Collaborate excellently across multiple teams in an agile iterative process

Requirements:
You have knowledge about how to model data and processes, how to test data, how to implement proper logging, and how to troubleshoot issues swiftly
You have extensive and proven professional experience (+3 years) handling data pipelines
You are an expert with MPP databases (Redshift/Greenplum/Teradata/Snowflake) and/or DBMS (Postgres/Oracle/MySQL)
Experience in cloud is preferred (AWS/GCP/Azure)
Good understanding of Python fundamentals and best practices
A proactive engineer who embodies the ideals of continuous improvement
Proficient understanding of automation such as CI/CD processes