Consultant Data Engineer

At Data Intellect we solve some of the most complex data engineering challenges in global financial markets.

For over two decades weve partnered with many of the worlds leading investment banks hedge funds and exchanges helping them build high-performance data platforms that power trading analytics and market surveillance. Were recognised as one of the worlds leading consultancies specialising in time series data and capital markets technology.

As our clients continue to adopt modern data platforms were 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

Were looking for experienced Consultants / Data Engineers who are passionate about building scalable high-performance data platforms.

Previous ClickHouse experience is desired. Were 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 youll 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 were a consultancy no two projects are the same. Youll work directly with our clients helping solve complex engineering challenges across market data trading systems analytics platforms and cloud-native architectures.

What Youll Be Doing

As a consultant youll be involved in the full lifecycle of delivering modern data platforms including:

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 Intellects ClickHouse capability

Qualifications :

What Were Looking For

Were 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 :

A little background on DI

Simply put we turn big data problems into smart data solutions

At our core Data Intellect is a data and technology consultancy firm. Our key area of expertise is financial and capital markets technology solutions. However the utility of these solutions allow us to apply fintech data expertise to other industries such as smart energy and healthcare.

This proprietary offering is complemented by a wealth of experience in data engineering electronic trading systems data capture applications regulatory and compliance systems and middle and back-office enterprise web solutions.

Fair employment and equal opportunities

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.

Welcome to Data Intellect.

#ChallengeAccepted

Remote Work :

No

Employment Type :

Full-time