Senior Data Engineer 78 views

Senior Data Engineer

Job Type : Contract, Full Time

Salary :

Senior Data Engineer/ Data Engineer
Malvern/ Farnborough
Rates Negotiable
6 Month Contract

Our client, a large multinational defence technology company, are currently seeking an experienced Data Engineer to join their team in the Malvern or Farnborough office/remote working, this contract will be for 6 months.

Based in Malvern or Farnborough we are looking for an experienced security-cleared professional to join our team of data scientists and engineers.
We have a wide portfolio of work for Security, Defence and Commercial customers, supporting projects across the whole company, including designing and engineering solutions for leading-edge applications using Big Data, applications requiring models of complex systems, and applications requiring Enterprise level integration of components and data pipelines. Increasingly these projects exploit Agile development methodologies and Cloud-based services.
This role will require a SC security clearance and ideally a DV. Application for a DV level of clearance will normally require the individual to have been a resident in the UK for a minimum of 5 years, regardless of nationality. Full time/part time or flexible working arrangements will be considered for the right candidate.

Job Description:
You will require the ability to think clearly and creatively, communicate openly, collaborate, and influence a range of stakeholders. Succinct communication of technical ideas and concepts to a non-technical audience is important, including stakeholders and end users to understand and accurately capture project requirements.
Your tasks will include:
Designing and implementing data solutions for internal and external customers.
Integrating Open Source components into projects, both as prototypes and as commercial products.
Leadership of tasks within implementation projects.
Liaison with customer technical representatives.
Looking for and suggesting opportunities to further improve the products,

Key Accountabilities
Accountable for working with Integration and Test engineers to produce testable and tested components.
Accountable to the team for being creative and finding opportunities to incorporate new ideas into the products.
Accountable to the project manager and technical leaders for production of good quality software components, and for adequate documentation to allow efficient team working

Challenges:
Maintaining consistency and quality of the components being developed in an exciting high pace, leading-edge environment.
Interpreting user requirements correctly but creatively developing these into good quality service products.
Keeping up with state-of-the-art in a broad and high profile technical area.

Person Specification:
Substantial experience over 5 years of working with and leading data-intensive projects is required, with a curiosity to work across a wide range of business domains, and with a variety of technology stacks including different programming languages. Experience of technical supervision of less experienced staff would also be an advantage.
Experience working in a customer-facing role is desirable, as the role may require some time working on customer sites.

Essential knowledge, skills and experience required
Qualified to at least University Honours STEM Degree or equivalent.
Experienced in at least two languages of the following set: Java, Python, R, Scala, C++.
Experienced in working with Linux systems.
Experienced and knowledgeable in Open Source techniques and tooling.
Experience in design, development, test and integration of quality software.
Enthusiastic and willing to work flexibly to be part of a high-performing team.
Excellent verbal and written technical English communications skills.

Desirable experience of some or all of the following:
Working in Agile or scaled Agile teams.
Familiarity with a DevOps environment;
Full product development lifecycle from requirements to user testing.
Virtualisation and Cloud technologies;
AWS and/or Azure, designing cloud-native data architectures.
Big Data tools including: ElasticSearch, Hadoop, Spark, Solr, Salt/Puppet/Ansible, Zookeeper, Accumulo, Kafka, MongoDB, Neo4J, Cassandra, Apache Storm, IBM Infosphere Streams, Oracle 11/12, ZeroMQ, OrientDB.
Distributed computing systems.
Knowledge of data science technologies and processes, to support data scientists.
Familiarity with systems engineering design and implementation processes.
Supervision of less experienced technical staff.

If you are relevant or interested please don't delay, contact me on

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