At a Glance
- Tasks: Design and build scalable big data pipelines using Quantexa and optimise ETL processes.
- Company: Globally renowned Data & AI consultancy with a high-performing team.
- Benefits: Competitive rate of up to £650 per day and hybrid working model.
- Other info: Exciting opportunity for career growth in a cutting-edge environment.
- Why this job: Join a dynamic team and work on market-leading big data transformation programmes.
- Qualifications: Strong experience with Quantexa, big data platforms, and cloud technologies.
The predicted salary is between 54000 - 66000 £ per year.
Senior Data Engineer (Quantexa)
Location: London (Hybrid, 2 days in Office per week)
Duration: 6 months +
Rate: Up to £650 per day (Inside IR35)
Opus have partnered with a Globally Renowned Data & AI consultancy who're searching for a Quantexa contractor to help with the delivery of market-leading big data driven transformation programmes.
You'll be joining a high-performing team led by experienced data and AI practitioners who work across solution architecture, advanced analytics, cloud transformation, and multi-million-pound client engagements.
Key Responsibilities
- Design and build scalable big data pipelines using Quantexa
- Develop and optimise ETL/ELT processes for high-volume, complex datasets.
- Deliver entity resolution and network analytics solutions using Quantexa.
- Integrate data from multiple structured and unstructured sources across enterprise platforms.
- Build data solutions within cloud-native environments (GCP, AWS, Azure).
- Ensure data quality, governance, lineage, and security standards are met, supporting solution design for large-scale data transformation programmes.
Essential Skills
- MUST HAVE: Strong hands-on experience with Quantexa implementation and development.
- Proven experience building and supporting big data platforms.
- Advanced knowledge of Apache Spark / Py Spark.
- Strong programming skills in Scala and/or Python.
- Expertise in SQL and large-scale data modelling.
- Strong cloud experience across GCP, AWS, or Azure.
- Experience with Databricks, Snowflake, or Hadoop ecosystems.
- Knowledge of data ingestion, ETL/ELT frameworks, and batch/real-time processing.
Applications are now open.
Senior Quantexa Data Engineer in London employer: Jobiqo
Bromley Council is an exceptional employer, dedicated to fostering a supportive and inclusive work environment where employees can thrive. With a strong commitment to professional development, flexible working arrangements, and a generous benefits package, including a local government pension scheme and unique discounts, the Council prioritises employee well-being and career growth. Located in the vibrant Bromley Civic Centre, you will be part of a team that plays a crucial role in shaping the future of the borough while enjoying the balance of urban and suburban life.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Quantexa Data Engineer in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Jobiqo before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Jobiqo.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Jobiqo.
We think you need these skills to ace Senior Quantexa Data Engineer in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Jobiqo, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Jobiqo, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Jobiqo’s attention and show the tangible impact of your work.
How to prepare for a job interview at Jobiqo
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Jobiqo.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Jobiqo.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Jobiqo.
