At a Glance
- Tasks: Design and build scalable data pipelines using Scala, Spark, and Python.
- Company: Join a leading firm transforming financial crime solutions with Quantexa.
- Benefits: Flexible working, professional development, and a collaborative environment.
- Other info: Inclusive recruitment process with support for all candidates.
- Why this job: Make a real impact in AML efforts while working with cutting-edge technologies.
- Qualifications: Strong background in data engineering with hands-on experience in Scala and Spark.
The predicted salary is between 58500 - 71500 £ per year.
Location: London
Contract Length: Up to 11 months
Working Pattern: 2-3 days in the office per week, via Umbrella Company
Our client is investing in a major Quantexa-led financial crime and AML transformation programme and is looking for a hands-on Quantexa Data Engineer to join the team. This role will play a key part in building scalable data pipelines, cloud-based data solutions and entity resolution capabilities supporting AML outcomes across a global banking environment. You will work closely with technology, product and business stakeholders, helping to develop and enhance a new Quantexa capability across EMEA.
Key Responsibilities:
- Design, build and optimise scalable data pipelines and ETL processes.
- Develop solutions using Scala, Spark, Python and SQL.
- Support the implementation and growth of the Quantexa platform.
- Build reusable frameworks and shared engineering capabilities.
- Work across Azure, Databricks and cloud-based data platforms.
- Ensure data quality, integrity, security and platform reliability.
- Support testing, deployment and automation activities.
- Collaborate with global teams to deliver high-quality solutions.
Qualifications and Skills:
- Strong Data Engineering background.
- Hands-on experience with Scala and Spark.
- Experience with SQL and Python.
- Experience with Azure Data Factory, Azure Databricks and cloud data platforms.
- ETL and data pipeline development expertise.
- Experience with Elasticsearch, APIs and modern engineering practices.
- Exposure to Quantexa would be highly desirable.
- Financial Services experience beneficial but not essential.
Why Join Our Client?
- Opportunity to work on impactful projects that contribute to the organisation's AML efforts.
- Collaborative and innovative work environment.
- Focus on professional development and staying updated with the latest technologies.
If you are enthusiastic about data engineering and ready to make a significant impact, consider applying for this thrilling opportunity! Our client values talent and dedication and is eager to find the right candidate to join their dynamic team.
Note: Due to volume of applicants if we do not reach out within 48hrs of applying, please assume your application has been unsuccessful. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.
Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
Quantexa Data Engineer (Scala/Spark) employer: Adecco
Our client in Worthing is an excellent employer, offering a supportive work culture that values teamwork and individual contributions. With competitive pay and flexible hours, employees enjoy a balanced work-life dynamic while having access to growth opportunities within the manufacturing sector. This role as a Kitting Operative not only provides meaningful work but also allows you to be part of a respected organisation committed to excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Quantexa Data Engineer (Scala/Spark)
✨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 Adecco 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 Adecco.
✨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 Adecco.
We think you need these skills to ace Quantexa Data Engineer (Scala/Spark)
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Adecco, 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 Adecco, 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 Adecco’s attention and show the tangible impact of your work.
How to prepare for a job interview at Adecco
✨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 Adecco.
✨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 Adecco.
✨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 Adecco.
