Data Engineer (Scala/Spark/Java/SQL) – Remote/UK
£70k basic + bonus + shares
My client is building one of the largest independent technology and business services firms in the world has a Financial Services business unit who are looking to add a talented Data Engineer with strong Scala programming skills to work on a programme of work with one of their key Investment Banking clients.
If your programming skills are matched by an enthusiasm for problem-solving, and your communication skills are as creative as your coding, there’s a digital revolution underway in the UK that could use your help.
Your future duties and responsibilities
You will be joining a team striving for the highest quality architecture, design and code to develop an extremely challenging big data solution in Banking.
You will help to build the bank’s surveillance systems, working in a fast-paced, agile environment.
Your workload for new deliveries will be high. The team uses, Scala/Spark for services, Hadoop Big Data and SQL for data analysis in an agile setup working with global distributed teams.
If successful, senior data engineers will play a key role in developing our advanced analytics practice working on some of the most exciting data analytics projects in the market.
Required qualifications to be successful in this role
Senior Software Engineering skills in Scala is essential
Experience working with very large datasets using Spark is essential. Other Big Data technologies such as Impala and Hive are also desirable.
A good understanding of Hadoop functioning & infrastructure is desirable
Experience with integration of data from multiple data sources
Experience with workflow/orchestration tools (e.g. Oozie, Control-m, UWQ)
Excellent technical leadership, teamwork and communication skills, and working with local and remote teams. A can do attitude is essential to succeed in this role.
Desire to write robust, maintainable & re-usable code
Experience or working with an Agile environment