At a Glance
- Tasks: Join our team to build a cutting-edge data platform using Databricks and modern cloud technologies.
- Company: Be part of TD Securities, a leading global financial institution with a focus on innovation.
- Benefits: Enjoy competitive pay, health benefits, career development, and a supportive work environment.
- Other info: Collaborate globally and grow your career in a dynamic, inclusive workplace.
- Why this job: Make a real impact in shaping the future of data analytics and AI solutions.
- Qualifications: 10+ years in data engineering with strong skills in Databricks, Python, and cloud technologies.
The predicted salary is between 56700 - 69300 £ per year.
The TDS Research Technology team is responsible for delivering the data, analytics, and AI platforms that support Research business capabilities globally. From Belfast, this role will help build the strategic Research data platform leveraging Databricks, enabling reusable data products, modern analytics, and future AI solutions across the organization.
We are seeking a Senior Data Engineer to help build and evolve the strategic Research data platform in Databricks. Working as part of a global Research Technology team, this role will focus on developing scalable data pipelines, governed data products, and foundational capabilities that support analytics, BI reporting, and AI initiatives. The successful candidate will bring a strong combination of hands-on engineering expertise and delivery leadership, acting as a key liaison between global business stakeholders and technology teams to drive successful execution and platform adoption.
Role Responsibilities
- Work as part of a Belfast-based data engineering team contributing to globally used Research data platforms, products, and services.
- Build the foundational Research data platform that will serve as a strategic data and AI enabler for the Research business.
- Design, develop, and maintain scalable data pipelines using Python, SQL, Spark, Databricks, Azure, and related cloud data technologies.
- Create curated, reusable, and governed data products that can be consumed by Research applications, dashboards, reporting tools, and AI-enabled solutions.
- Support data ingestion and transformation patterns across structured, semi-structured, and unstructured data sources where required.
- Contribute to data domain, table, object, field, and metadata structures that align with Unity Catalog and broader data governance patterns.
- Implement data quality, reconciliation, lineage, monitoring, audit, and operational controls required for production-grade data platforms.
- Support CI/CD, automation, deployment, and environment management practices for Databricks and Azure-based data workloads.
- Partner closely with global engineering colleagues, business stakeholders, platform teams, and data consumers to translate requirements into scalable data solutions.
- Act as a coordination bridge with Cognizant resources in India, using the Belfast time zone overlap to support delivery alignment, issue resolution, and execution follow-through.
- Communicate effectively, contribute to design discussions and demos, and support a collaborative global delivery model.
A Successful Candidate Will Possess
- 10+ years of experience in data engineering, data platform delivery, software engineering, or related enterprise technology roles.
- Strong hands-on experience with Databricks, Spark / PySpark, Python, SQL, Delta Lake, Azure, ADLS, and cloud-based data engineering patterns.
- Experience designing scalable data pipelines, data products, and lakehouse solutions using modern cloud data platform patterns.
- Experience with Unity Catalog or similar governance capabilities, including data discovery, access control, lineage, ownership, and catalog structures.
- Experience delivering enterprise-grade data platforms including CI/CD, monitoring, data quality, operational controls, and support processes.
- Strong analytical and problem-solving skills, with the ability to work through complex data, platform, and integration challenges.
- Strong communication skills with the ability to work effectively across local, global, and offshore teams.
- Ability to coordinate with India-based delivery resources and help bridge time zone, requirement, and execution gaps.
- Exposure to AI-ready data platform concepts, including metadata enrichment, document/data automation, unstructured data processing, RAG patterns, or AI/ML enablement would be beneficial.
- Knowledge of Research, Capital Markets, Global Markets, client analytics, readership, CRM, revenue, or market data domains would be beneficial.
Why This Role in Belfast
This position offers the opportunity to be part of a strategically important Research Technology team from Belfast while contributing directly to the build-out of a modern, governed, and AI-ready data platform. The role combines hands-on data engineering, platform modernization, global collaboration, and delivery coordination across Toronto, London, New York, Belfast, and India. It is ideal for a senior data engineer who wants to help establish foundational data capabilities, support strategic AI and analytics initiatives, and play a visible role in shaping the future Research data platform.
Senior Data Engineer employer: TD Execution Services Limited
TD Securities is an exceptional employer, offering a dynamic work culture in the vibrant city of Belfast. With a strong focus on employee growth and development, we provide opportunities to work on cutting-edge technologies like Databricks, while fostering collaboration across global teams. Our commitment to innovation and excellence ensures that you will be part of a forward-thinking environment where your contributions are valued and impactful.
Contact Details:
TD Execution Services Limited Recruitment Team
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