At a Glance
- Tasks: Design and implement scalable data engineering solutions for complex financial challenges.
- Company: Join Data Intellect, a leading consultancy in financial data technology.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic team environment focused on collaboration and problem-solving.
- Why this job: Shape the future of data engineering with innovative projects and top-tier clients.
- Qualifications: Experience with ClickHouse, Python, SQL, and cloud platforms required.
The predicted salary is between 56700 - 69300 £ per year.
At Data Intellect, we solve some of the most complex data engineering challenges in global financial markets. For over two decades, we've partnered with many of the world's leading investment banks, hedge funds and exchanges, helping them build high-performance data platforms that power trading, analytics and market surveillance. We're recognised as one of the world's leading consultancies specialising in time series data and capital markets technology.
As our clients continue to adopt modern data platforms, we're investing in a new capability centred around ClickHouse. This is an exciting opportunity to join at the beginning of that journey, helping us build a new consulting practice while working on challenging projects with some of the biggest names in financial services.
The Opportunity
We're looking for experienced Consultants / Data Engineers who are passionate about building scalable, high-performance data platforms. Previous ClickHouse experience is desired. We’re looking for people with strong data engineering fundamentals, excellent Python and SQL skills, and experience working with large-scale financial or time series datasets. As part of a growing specialist team, you'll have the opportunity to shape our ClickHouse capability from the ground up, influence technical direction and work closely with both clients and internal engineering teams. Because we're a consultancy, no two projects are the same. You'll work directly with our clients, helping solve complex engineering challenges across market data, trading systems, analytics platforms and cloud-native architectures.
What You'll Be Doing
- Designing and implementing scalable data engineering solutions
- Building high-performance data pipelines using Python and SQL
- Working with large-scale financial and time series datasets
- Designing efficient data models and optimising analytical workloads
- Implementing ClickHouse across client environments
- Collaborating directly with client engineering teams to understand technical challenges and deliver solutions
- Supporting cloud-based data platforms and distributed architectures
- Contributing to technical design discussions and engineering best practice
- Helping grow Data Intellect's ClickHouse capability
Qualifications
We're interested in experienced engineers who can demonstrate the following:
- Previous experience using ClickHouse in production
- Hands on experience with Go and/or Python
- Strong knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud Platform
- Excellent understanding of distributed databases and SQL
- Hands on experience with container orchestration tools such as Kubernetes or Docker Swarm
- Strong experience with automation and configuration management tools such as Ansible, Terraform, or Puppet
- Strong commercial Data Engineering experience
- Experience designing and maintaining large-scale data pipelines
- Experience working with high-volume or high-performance data platforms
- Experience within Capital Markets or Financial Services
- Strong understanding of modern data engineering principles
- Excellent problem-solving and analytical skills
- Strong communication skills and experience working with technical stakeholders
Additional Information
Data Intellect is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Accommodations are available on request throughout the assessment and selection process.
Consultant Data Engineer employer: Data Intellect
At Data Intellect, we pride ourselves on fostering a collaborative and innovative work culture that values problem-solving and humility. As a Remote kdb+ Developer, you'll not only contribute to cutting-edge trade surveillance solutions but also benefit from mentorship opportunities and a supportive team environment that encourages personal and professional growth. Join us in a role where your contributions are valued, and you can make a meaningful impact in the financial technology landscape.
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We think this is how you could land Consultant Data Engineer
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We think you need these skills to ace Consultant Data Engineer
Some tips for your application 🫡
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✨Brush Up on Your Statistics
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