Data Engineer

If data is what excites you, this is the role for you! Process over 350gb an hour, almost half a million incoming events a second and maintain petabytes of storage.
This role will see you join the global leader in location-based data, analytics and advertising. This award winning client helps some of the biggest and best known global brands understand and reach their future customers, driving real business outcomes.My client is a truly global company, with over 20 offices across 5 continents. The team is currently around 200, spread across all locations. This opportunity will enable you to understand and impact every aspect of their product. Headquartered in London, with a Tech Hub in Edinburgh, they are VC backed, financially successful, and undergoing continued growth. 
What tech are they using: Spark, Flink, Kafka, ScyllaDB, Redshift, Druid, BigQuery, and Postgres.. But like any good engineering team, they are always looking for better ways to do things.
Join a team that is passionate about what they do, supporting each other and improving as a team. They are growing their engineering team and are excited about the challenges that lay ahead as they look to reach the next 10x scale and intelligence.
You: 5+ years commercial Engineering experienceExpert in Python or Scala Use of Spark, Hadoop or Kafka Orchestration frameworks, like Luigi, Airflow, or OozieA full understanding of data analytics and ingestion engineeringHands-on implementation and architectural familiarity with streaming, relational, and non-relational databases and systemsAWS, GCPExcellent working understanding of server-side LinuxDegree in Computer Science, Software Engineering, or similar
Bonus:Familiarity with Cassandra, ScyllaDB, HBase, or similar datastoresPostgreSQL, BigQuery, RedShift 
Benefits:An extra bank-holidayFree eye testsChildcare vouchersCycle schemeDay off on your birthday!Competitive packagesEarly finish Friday - because you deserve itPensions - saving for the future?Some office-centric perks are being re-evaluated in light of our shift to remote working