At a Glance
- Tasks: Develop secure data platforms and solve analytics challenges for government clients.
- Company: Aker Systems, a pioneering tech firm with a culture-first approach.
- Benefits: Competitive salary, 25 days holiday, medical insurance, and training allowances.
- Other info: Inclusive workplace with opportunities for personal and professional growth.
- Why this job: Join a team that values collaboration and innovation in cutting-edge data technology.
- Qualifications: Bachelor's degree and experience in data pipeline development and cloud services.
The predicted salary is between 60000 - 80000 £ per year.
Aker Systems was founded in 2017 by a team of experienced technology professionals who recognised an opportunity to provide highly secure enterprise data platforms to large organisations. We build and operate ground-breaking, ultra-secure, high performance, cloud-based data infrastructure for the enterprise. Our proprietary technology solutions drive performance and reduce costs while helping our clients to improve the management and sharing of data across their organisations.
In 2024, Aker Systems won the Breakthrough Culture Awards highlighting growth companies putting culture first. In 2020 Aker Systems was recognised as a ‘One to Watch’ on the Sunday Times Tech Track. The Company was also recognised at the Thames Valley Tech Awards 2020; winning the Thames Valley Tech Company of the year, the Emerging Tech Company and High Growth Tech Business categories.
We encourage people of all different backgrounds and identities to apply. We are committed to maintaining an inclusive, and supportive place for you to do your very best work.
Due to the nature of the work and the customers, you must hold enhanced DV Security Clearance. As a Data Engineer, you will assist in the development of a secure batch/real-time data platform for a government client leveraging the latest commercial and open-source technologies. This involves getting data from a variety of different sources, getting it into the right format, assuring alignment to target models, and ensuring that data can be made available to downstream consumers.
Duties & Responsibilities
- Code, test, and document new or modified data pipelines that meet functional / non-functional business requirements
- Conduct logical and physical database design
- Expand and grow data platform capabilities to solve new data and analytics problems
- Conduct data analysis, identifying feasible solutions and enhancements to data processing challenges
- Ensure that data models are consistent with the data architecture (e.g. entity names, relationships and definitions)
- Perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
Core Experience & Competencies
The successful candidate will have a Bachelor's degree and meet all of the following essential criteria and additionally have some experience (or a genuine interest in learning) from the preferred criteria.
Essential
- Data pipeline development using data processing technologies and frameworks
- Agile or other rapid application development methods
- Data modelling and understanding of different data structures and their benefits and limitations under particular use cases
- Experience in Public Cloud services, such as AWS. Practical experience with core services such as EC2, RDS, Lambda, Athena & Glue would be even better!
- Configuring and tuning Relational and NoSQL databases, including both query processing and query planning, or other data processing infrastructure
- Programming or scripting languages, such as Python
- Test Driven Development with appropriate tools and frameworks
Preferred
- Familiar with CI tools such as Jenkins/Drone
- Knowledge of configuration tools such as Ansible & Packer
- Use / Knowledge of Terraform for IaC deployments
- Experience in Linux and Windows
Aker Systems Attributes
At Aker we work as a team; we are collaborative, hardworking, open, and delivery obsessed. There is no blame culture here: try things, and take responsibility for the outcomes. You are always part of the wider Aker. We help our colleagues and take pride in successfully achieving difficult tasks. We run towards problems and help to solve them. Communicate always, do so accurately and in a timely fashion.
In return, we offer a competitive salary, 25 days holiday plus bank holidays, company paid medical insurance and life assurance, pension scheme, annual training allowance, wellbeing allowance, virtual GP, Employee Assistance plan and more.
Equal Opportunities
Aker Systems fosters a diverse environment that encourages openness in its communications and is committed to providing equal employment opportunity for all people regardless of race, religion, gender or sexual orientation, age, marital status, national origin, citizenship status, disability, veteran status or other personal characteristics. We embrace differences of opinion and diversity because they help challenge us and find new groundbreaking technical solutions.
Senior Data Engineer (eDV) employer: Aker Systems
Aker Systems is an exceptional employer that prioritises a collaborative and inclusive work culture, making it a great place for professionals to thrive. With a commitment to employee growth through training allowances and a supportive environment, Aker Systems not only offers competitive benefits like medical insurance and generous holiday but also fosters innovation and teamwork in the heart of the tech industry. Join us in shaping the future of secure data infrastructure while enjoying a workplace that values your contributions and diverse perspectives.
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We think this is how you could land Senior Data Engineer (eDV)
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We think you need these skills to ace Senior Data Engineer (eDV)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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