Data Engineer (BB-5D7F4)
Found in: Neuvoo UK
Our people love the exciting and meaningfulwork they do, the cutting-edge resources and technology they have access to, the benefits we offer and the great community we’ve built. Want to join them?
The Senior Data Engineer is responsible for designing and developing data processing and data persistence software components for solutions which handle data at scale. Working in agile teams, Lead Data Engineers providing strong development leadership for team members and take responsibility for the quality of the codebase as well as the match to user needs.
Most of our work comes through repeat business and direct referrals, which comes down to the quality of our people. The success of our Data Engineering teams means that customers are bringing us an increasing number of exciting data projects using cutting-edge technology to solve real-world problems. We are seeking more high calibre people to join our Data & Analytics capability where you will grow and contribute to industry-leading technical expertise.
Software development experience with distributed data storage and processing technologies including Hadoop and Spark and using JVM languages.
Experience of leading the development of substantial components for large-scale data processing solutions, taking responsibility for non-functional needs of ETL/ELT data processing pipelines such as robustness, performance and security. ‘Development’ incorporates design, code, test defect resolution and operational readiness, and includes setting the standards for these activities.
Coaching and mentoring experience in data development disciplines with the ability to gain the respect of a junior team.
Ability to advise architects and other stakeholder on detailed technology and development practice and on development estimates.
Ability to make effective decisions within fast-moving Agile delivery and to lead on troubleshooting.
Strong understanding of tools, design methodologies and best practice.
Ability to clearly communicate technical design both written and verbally.
Software development experience with Cloudera’s distribution of Apache Hadoop and with Python.
Experience of data visualisation and data complex data transformations, including ETL tools such as Talend.
Able to productionise machine learning algorithms.
Understanding of text processing including Natural Language Processing.
Experience with steaming and event-processing architectures including technologies such as Kafka and change-data-capture products.
Data modelling experience with data storage technology, such as document, graph, log stores and other non-relational platforms.
Open source contributor
Kainos is a professional services organisation with clients spread across the globe and we deliver projects both from client site, and from our offices. While we will attempt to base you on projects near or at your contracted office location, you need to be willing to travel to client sites and spend time away during the week if it is required.
Given the range and nature of work that we carry out for our clients, all Kainos employees are required to possesses up to date security clearance (Basic Disclosure, Access NI etc), if you do not already possess this, you will be asked to apply for it prior to joining Kainos.
Everyone who is offered a position here undergoes a background check; whether a criminal record excludes you from a career with Kainos depends on the role and the offences.
WHO YOU ARE:
Our vision is to enable outstanding people to create digital solutions that have a positive impact on people’s lives. Our values aren't abstract; they are the behaviours we expect from each other every day and underpin everything that we do. We expect everyone to display our values by being determined in how obstacles are overcome; honest when dealing with others; respectful of how you treat others; creative to find solutions to complex problems and cooperative by sharing information, knowledge and experience. These values, applied collectively, help to produce an outstanding Kainos person, team and culture.
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