Job Responsibilities
- Collaborate with IT Infrastructure teams to ensure the data infrastructure is secure, stable, scalable, and architected for high availability, with built-in automation and disaster recovery capabilities.
- Collaborate with stakeholders to translate business requirements into technical solutions.
- Collaborate with Data Analysts, Software Engineers, and Cloud Engineers as part of a team to contribute to the data architecture detail designs and ensure that data solutions deliver business value.
- Lead the design, development, and maintenance of scalable data pipelines using Microsoft Fabric.
- Architect and optimise the data warehouse using Azure Data Services.
- Implement and maintain ETL/ELT pipelines, ensuring that reasonable data quality checks are implemented in the data pipelines to maintain a high level of data accuracy, consistency and security.
- Oversee data ingestion, transformation, and integration to support business intelligence and analytics.
- Provide mentorship, training, and career development for data professionals.
- Stay up to date with emerging technologies in data engineering, analytics, and Microsoft Fabric advancements.
- Support incident management by troubleshooting issues, tracking root causes, providing timely resolutions, and generating performance and incident reports.
- Develop and maintain documentation, including schemas, configurations, procedures, and troubleshooting guides, to support knowledge transfer and ensure consistency and reliability in data operations
- Conduct capacity planning and scalability assessments, forecasting resource requirements and growth trends, and recommending infrastructure upgrades or optimizations to accommodate future needs.
- Proactively assess the current implementations, configurations, processes, platforms, technologies, budgets, strategies, and plans.
- Adhere to change management processes, documenting and communicating changes, updates, and maintenance activities to stakeholders, and obtaining approvals as required.
Job Qualifications
- 3+ years of experience as a Senior Data Engineer, with expertise in ETL/ELT processes, and pipelines.
- 2-3 years of experience designing and developing streaming data pipelines for ingestion or transformation using Azure Technologies.
- Familiarity with Microsoft Azure and DevOps principles.
- Experience working within Agile/Scrum teams, contributing to collaborative development processes.
- Microsoft Certified: Fabric Analytics Engineer Associate, Fabric Data Engineer Associate or similar certifications
- ITIL, DevOps, or Agile certifications are a plus.
Job Requirements
- Experienced with Microsoft Azure and DevOps.
- Experienced with High Availability.
- Experienced with Data Ingestion.
- Experienced with Data Governance.
- Experienced with Data Warehousing and Data Lakes.
- Experienced with monitoring tools like DataDog.
- Experience designing, building, and maintaining data warehouses and data lakes.
- Experience designing, building, and maintaining ETL/ELT pipelines/processes.
- Experience with programming languages such as Python, and SQL.
- Experience with relational databases.
- Experience with data visualization tools.
- Experienced at working independently within a team and has the demonstrated knowledge and skills to deliver data outcomes without supervision
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What We Do
Titan is a discretionary fund management / wealth and asset management business. Targeting £50 billion in assets under administration over the next three to five years and assets under management of £40 billion, Titan aims to bring high-quality execution and administration to the asset and wealth management sector. Titan provides execution, custody, clearing and wealth management services to small and medium sized broker dealers, proprietary traders, intermediaries, family offices and wealth managers and platform services, custody and investment solutions to financial advisors, family offices, retail clients and institutions via a network of trusted intermediaries.







