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About the role
Develop and maintain reliable, scalable data models, transformations, and pipelines using BigQuery and dbt. Integrate data from various systems and ensure reporting needs are met with accurate, well-tested datasets.
What they look for
Requirements
Requires in-depth SQL knowledge and substantial experience with ELT pipelines and data modeling in a production environment. Proficiency in GCP, dbt, and Power BI is highly preferred.
Benefits
Full description
Who we are
We are a global wealth-tech company powering the next generation of trading. We deliver cutting-edge centralised trading solutions and robust B2B financial infrastructure. Our proprietary trading platform offers clients seamless access to stocks, ETFs, bonds, futures, options, swaps, funds, and currency pairs- all within a single, multi-currency account.
We believe in the boundless flow of capital and information. Whilst developing EXANTE, we saw technology as a means to improve global connectivity of the financial services industry. Over the years, we have earned a reputation for providing superior service and for getting the results our clients and customers want.
Most importantly, people have come to know us for our technological insights and focus on privacy. Our inspiration stems from the talent and ambition of our clients. We are offering an ecosystem of financial products and services that would provide the most tailored assistance to traders.
Our culture
Everything at EXANTE starts with our people. We bring together almost 800 minds across 70 locations. We place trust in our team with real autonomy - the freedom to drive change across products, processes and everything in between. That trust fuels innovation, and the demands of the markets build resilience; we adapt, push forward, and we look after each other while we do it.
That freedom is matched by real investment in growth: we back our people with ongoing learning, hands-on development and the kind of stretch opportunities that turn good careers into great ones.
About The Role
Our Business Intelligence department owns the trusted data warehouse and the analytics every department relies on. We build and maintain the models and reports behind management reporting and daily decision-making, with a strong focus on getting the numbers right and on time. We're hiring a hands-on, SQL-strong data engineer to drive development work forward in our GCP + dbt + Power BI stack.
Reporting Line — Head of Data Warehouse
Worksite — Remote
What You Will Do
- Develop and look after reliable, scalable data models, transformations and pipelines across BigQuery and dbt.
- Bring together data from a range of different systems — databases, APIs, file feeds and external providers.
- Translate reporting needs into accurate, well-tested and documented datasets.
- Put validation, checks and monitoring in place so data problems are spotted before they spread.
- Make sure the day-to-day data lands correctly and on schedule.
What We're Looking For
Must have
- In-depth knowledge of SQL — you are confident in writing and debugging complex queries, and you understand the underlying data.
- Substantial experience working in a production environment with ELT pipelines, data integration and data modelling.
- A deep understanding of the principles of data quality assurance and data warehouse design.
- Reliability and independence — you are able to take responsibility for resolving data-related issues and see the task through to completion.
Nice to Have
- Experience with designing and building data models in dbt.
- Comfortable using Python to move and integrate data across GCP services.
- Practical experience querying and working in BigQuery (or a comparable cloud warehouse).
- Solid grasp of star-schema design and semantic modelling for Power BI.
- Confident with version control and CI/CD workflows, GitLab a plus.
- Background working with brokerage, banking, asset-management, payments or fintech data.
We Offer
- Competitive salary that reflects your experience and the value you bring.
- Flexibility that fits your life — work from home, from our office, or a mix of both. You decide what works best.
- Flexible benefits package — choose the options that suit your life, not a one-size-fits-all bundle.
- A genuinely good place to work — an informal, collaborative culture where ideas are heard and bureaucracy stays out of your way.
- Continuous learning — ongoing training, education programs, and the support to deepen your expertise in a fast-moving industry.
- Connection beyond your desk — events that bring our teams together to network and celebrate.
- Global exposure — work side by side with talented colleagues from all over the world, across a business serving clients in 100+ countries.
EXANTE is a global prime broker backed by proprietary technology and dedicated service. All regulated group companies and fully controlled affiliates and subsidiaries are committed to compliance with data protection laws, including the GDPR. We process personal data in line with the GDPR principles of fairness, purpose limitation, transparency, data minimisation, storage limitation and deletion, accuracy, confidentiality and integrity, and accountability. We rely on legitimate interests to assess and manage your application, after determining that our interests are not overridden by your rights and interests. You have the rights of access, rectification, data portability, erasure, restriction of processing, and objection to processing. To exercise your rights or contact our Data Protection Officer, please see our GDPR policy at https://exante.eu/gdpr/.
We retain recruitment data only for as long as necessary for the purposes described above, after which it will be securely deleted unless we are required to keep it longer to comply with law or you consent to a longer retention.
Where personal data is transferred outside the EEA, it will be protected to a standard at least equivalent to that sought by the GDPR. Personal data is safeguarded by technical and organisational measures that are reviewed and updated regularly. This website is not intended for individuals under 18 and we do not knowingly collect data relating to children.
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