At a Glance
- Tasks: Develop and optimise data pipelines using Quantexa, Spark, and Scala.
- Company: Join a leading consultancy investing in innovative data solutions.
- Benefits: Competitive salary, bonus, car allowance, and hybrid work options.
- Other info: Opportunities for career growth in a dynamic tech environment.
- Why this job: Make an impact by solving complex business challenges with cutting-edge technology.
- Qualifications: Experience in Data Engineering and Quantexa certification required.
£55,000 - £85,000 dependant on experience + bonus + car allowance + benefits
Full Time / Permanent
Hybrid / London / Birmingham / Manchester / Leeds
Background
I am looking for Data Engineers at all levels to join a leading consultancy who are investing heavily in their Quantexa practice. These roles can be based anywhere in the UK; however, main Tech hubs are based in London, Birmingham, Manchester and Leeds. You must be willing to travel to your local office and to clients as and when required. The successful candidates must either hold or be eligible for SC clearance.
The Role
As a Data Engineer / Senior Data Engineer, you will lead / contribute towards the technical development of Quantexa based solutions, bringing deep hands-on experience with data ingestion, transformation, and contextual data modelling. The Data Engineers will work closely with Quantexa Architects, Tech Leads, and client stakeholders to deliver high-quality solutions that address complex business challenges. You will play a critical role in designing and implementing robust data pipelines, configuring Quantexa components, and supporting the overall success of client engagements.
Key Responsibilities
- Develop and optimise data ingestion pipelines and transformations within the Quantexa platform using Spark and Scala.
- Configure and implement Quantexa components such as Entity Resolution, Scoring, and Network Generation to support specific use cases.
- Collaborate with Tech Leads and Solution Architects to design scalable and performant Quantexa solutions.
- Translate business and technical requirements into efficient, production-ready data engineering solutions.
- Support the integration of Quantexa into broader enterprise data architectures, working closely with cloud, security, and DevOps teams.
The Person
Must have previous experience in a similar Data Engineering role with proven hands-on experience of designing and implementing Quantexa solutions for clients. Absolutely must possess Quantexa Technical Certification. Previous experience in leading client data engineering or integration projects is required for more senior engineers. Additional technical experience in Scala, Python and Databricks is also required. Must either hold or be eligible for SC clearance.
No sponsorship is available for these roles.
Quantexa Data Engineers (Mid-Level through to Lead) in City of London employer: Akkodis
Join a leading defence and technology organisation in Stevenage as a Principal Commercial Officer, where you will thrive in a collaborative work culture that values your contributions and supports your professional growth. With competitive salaries, excellent benefits, and hybrid working arrangements, this role offers the unique opportunity to engage with nationally significant programmes while developing your career in a complex and regulated environment. Experience a workplace that prioritises continuous improvement and fosters strong stakeholder relationships, making it an ideal setting for those seeking meaningful and rewarding employment.
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We think this is how you could land Quantexa Data Engineers (Mid-Level through to Lead) in City of London
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We think you need these skills to ace Quantexa Data Engineers (Mid-Level through to Lead) in City of London
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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✨Get Comfortable with Python and R
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
