Privitar is an enterprise software company headquartered in London, with a global client-base across North America, Europe and Asia.

Privitar is leading the development and adoption of privacy engineering technology enabling our customers to innovate and leverage data with an uncompromising approach to data privacy.

Privitar’s mission is to promote and facilitate the ethical and safe use of valuable data assets. Using leading privacy engineering techniques, we help companies get maximum value from data while preserving customer’s privacy.

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We are looking for talented and passionate engineers who love to build great products and enjoy immersing themselves in hard data problems. You will be building innovative solutions using the latest technologies to solve one of the most important problems of the big data age.

Ideal candidates for this role learn and adapt quickly; you are comfortable with being dropped into challenging technical problems and being given the responsibility to solve them. You’ll combine state-of-the-art technologies with leading-edge algorithms to understand and tackle hard data security and data anonymisation problems.

You take a deep pride in the products you build and care about writing clear, well-tested code. You value working in a close-knit team with other talented people and seek both to learn from and help others. You have a positive, constructive and proactive approach and enjoy working with the team to design and architect solutions, choose technologies, implement, ensure quality and constantly improve how we work as a team.

You are excited about the variety and fast pace of a dynamic startup and relish the opportunity to make a sizeable and meaningful contribution to the direction and success of a young company.

• Bachelor’s or higher degree in Computer Science or a Science or Engineering discipline
• High level of proficiency in Java
• Deep knowledge of the Hadoop stack and other big data technologies (MapReduce, HDFS, HBase, Hive)
• Experience building complex distributed systems
• Experience with distributed algorithms and re-factoring algorithms for a distributed computing model

• Experience with Spark, Cassandra, and other big data technologies
• Understanding of software security and threat models, and experience building secure applications
• Knowledge of emerging big data security and auditing tools (Sentry, Ranger, Knox)
• Knowledge of enterprise authentication and authorisation tools such as Kerberos, LDAP
• Knowledge of ETL tools
• Knowledge of SQL and relational database technology
• Experience with Amazon AWS and other cloud platforms
• Experience developing significant software products and supporting them in production
• Knowledge of Python