At a Glance
- Tasks: Build and maintain scalable data pipelines for innovative financial technology solutions.
- Company: Join a leading fintech company focused on empowering individuals and businesses.
- Benefits: Enjoy subsidised health plans, paid sick leave, retirement plans, and free online training.
- Other info: Be part of an inclusive culture that values diverse backgrounds and perspectives.
- Why this job: Make a significant impact on AI/ML experiences and user operations globally.
- Qualifications: Experience with data pipelines, Python, SQL, and modern programming environments.
The predicted salary is between 63000 - 77000 £ per year.
Aquent is partnering with a leading financial technology company dedicated to empowering individuals and businesses through innovative solutions.
This is an incredible opportunity to join a dynamic team and make a significant impact, shaping the future of international applications and directly contributing to cutting-edge AI/ML experiences.
You will be instrumental in building and maintaining robust data infrastructure, ensuring seamless operation of platforms at scale within an engineering-focused organization.
This role offers broad exposure to a comprehensive technology stack and the chance to contribute to projects that directly influence user experience and operational efficiency.
We are seeking a talented professional to play a pivotal role in our mission to deliver innovative financial technology solutions.
This position offers the chance to be at the forefront of data innovation, contributing directly to the intelligence and reliability of our platforms.
You will collaborate with cross-functional teams, leveraging your expertise to build scalable data solutions that drive critical business insights and enhance user experiences globally.
- What You’ll Do
- Build and maintain scalable data pipelines that support our growing data needs.
- Implement observability and monitoring solutions to enhance reliability, data quality, and robustness across our systems.
- Develop critical data quality checks to ensure compliance with security standards and data governance policies.
- Actively participate in code and technical design reviews, contributing to a culture of engineering excellence.
- Collaborate with product engineering, data science, and business teams on scoping and planning, supporting data tracking, collection, ingestion, quality monitoring, and alerting.
- What You’ll Bring
- Experience managing batch and/or streaming data pipelines and infrastructure.
- Proficiency in Python, SQL, and shell scripting.
- Experience with containerization and “infrastructure as code” tools.
- Professional experience developing applications in a modern programming environment (preferably Scala/Java and/or Python).
- Professional experience across the entire software development life cycle, from requirements gathering to production deployment using CI/CD.
- Ability to articulate complex technical content to peers and partners via Technical Design Documents.
- Nice-to-Have Qualifications
- Experience optimizing complex analytical queries in a data warehousing system.
- Familiarity with data visualization and business intelligence tools.
- Experience with the MLOps life cycle.
- Dev Ops experience with major cloud platforms.
- Data quality experience, particularly in developing and improving internal tools for automatic issue detection.
About Aquent Talent
Aquent Talent connects the best talent in marketing, creative, and design with the world’s biggest brands.
Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match.
We also offer free online training through Aquent Gymnasium.
More information on our awesome benefits!
Aquent is an equal-opportunity employer.
We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.
We’re about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.
Client Description
Our Client is a global technology platform that specialises in overcoming the world’s most important financial challenges.
Their products and services are driven by artificial intelligence, and their accounting software is one of their most recognisable creations.
Considered one of the top companies to work for, they are proud of their company culture and entrepreneurial spirit.
Aquent is dedicated to improving inclusivity & is proudly an equal opportunities employer.
We encourage applications from under-represented groups & are committed to providing support to applicants with disabilities.
We aim to provide reasonable accommodation for any part of the employment process, to those with a medical condition, disability or neurodivergence.
- #LI-PW1
- #LI-hybrid
- #LI-Hybrid
Data Engineer [AQ-11155] in London employer: Aquent UK
Aquent is an exceptional employer that prioritises employee welfare and operational excellence, offering a dynamic work environment where creativity and innovation thrive. With comprehensive benefits programs, including subsidised health plans and retirement matching, employees are supported in their personal and professional growth. The inclusive culture fosters collaboration and values diverse perspectives, making it an ideal place for those looking to make a meaningful impact in a multinational setting.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer [AQ-11155] in London
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We think you need these skills to ace Data Engineer [AQ-11155] in 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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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Aquent UK. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Aquent UK
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
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.
