Compensation

£50K - 100K + Equity

Contract type

Full time

Technologies & frameworks

Concurrency
Java
Hadoop
Hive
multithreading
AWS
Spark
Apache

Benefits & perks

Remote working
Flexible working
Share options
30 days annual leave + bank holidays

Using java to create privacy preserving algorithms for ML and Data Science

Role overview

Ideal candidates for this role learn and adapt quickly. You’ll combine state-of-the-art technologies with leading-edge algorithms to understand and tackle hard data security and data anonymisation problems.

Our Eng Culture:

As engineers at Privitar, we are excited and engaged with the problems we are working on. We work together in small teams in a supportive way, developing our skills, learning from each other, and building on each other's ideas. We take a deep pride in the products we build and care about writing clear, well-tested code.

We have a positive, constructive and proactive approach and enjoy working to design and architect solutions, choose technologies, and constantly improve how we work as a team. We are not afraid to question something that might seem obvious or to give it a go and learn how to do things better.

About you:

Less experienced candidates:

Bachelor’s or higher degree in Computer Science or a Science or Engineering discipline. We can make exceptions to this for exceptional candidates.
Experience of coding in Java. Or experience in a related language and evidence of commitment and ability to ramp up in Java.
Demonstrable interest and knowledge of maths, big data, security or privacy.
Excellent communication skills

More experienced candidates:

The more Java experience the better.
You are comfortable with being dropped into challenging technical problems and being given the responsibility to solve them.
Experience building a software product, ideally over the full life cycle from design to production and ongoing support and enhancement.
Experience of and commitment to automated testing.
Ability to deliver results with rapidly evolving propositions, client demands and business needs.
Knowledge of multiple programming languages

Desirable:

Experience of multithreading or concurrent programming
Experience building complex distributed systems
Exposure to Big Data technologies, for example: Hadoop, Spark, Apache Nifi, MapReduce, HDFS, HBase, Hive, Cassandra.
Understanding of software security and threat models, and experience building secure applications
Experience with Amazon AWS and other cloud platforms

Location

London is the capital of the United Kingdom, situated in the South East of the island. The world's largest financial centre, London is also often referred to the culture capital of the world. The city is well-known for its heritage, including Buckingham Palace, the Tower of London, Kew Gardens, Westminster Abbey, and the historic settlement of Greenwich. London Underground is the oldest urban railway network in the world.

Technology workers in London earn 60pc more than the city average, with the figure even higher for foreign born workers, who earned 28pc more than their British counterparts in tech jobs. London can be considered as a center for professional relocation. Furthermore, there are over 100 of Europe's 500 largest companies' headquarters in London.

The city is famous for unpredictable weather. For instance, it could be cold, warm and rainy in one day and it’s often the topic of conversation across the city.

Did you know...

2.5M people, one third of Londoners, are foreign born
40% of Greater London is green space

Privitar

50-249

Privitar is a dynamic Data Privacy start-up based in London, building software to enable the safe and ethical use of valuable data for analytics and machine learning. We work with large organisations worldwide in healthcare, financial services, telecommunications, pharma and government, enabling them to get the most out of data without compromising on privacy and security. We have recently completed a $80 million Series C funding round, and are in a phase of hyper growth.