Senior Consultant - Data Engineering

Alpha Financial Markets Consulting (Alpha) is a leading global consultancy to the financial services industry. Founded in 2003, we have worked for over 20 years to bring together specialist, sector-focused strategy, management consulting and technology expertise to support the entire client transformation lifecycle. Having partnered with more than 1,200 clients worldwide across the asset and wealth management, alternatives and insurance industries, Alpha is truly a trusted advisor for complex change programmes. We now have over 1,180 consultants working with clients across North America, the UK, Europe, Middle East and APAC.

In 2024, in recognition of our successful track record and strong growth prospects, Alpha was acquired by Bridgepoint, one of the world's leading quoted private asset growth investors. Our people are at the heart of everything we do. We are delighted that many of our team have built long and fulfilling careers with us, many staying over a decade. We believe this is because Alpha offers a genuinely rewarding place to work: a meritocratic environment where your career can flourish, and a welcoming culture where you can be yourself, connect with others and thrive.

As we look to the future, we're excited to be looking for new Alpha colleagues - individuals who are collaborative, innovative and ambitious. We hope you will join us and help shape the next chapter of our growth journey.

Design, implement, and maintain data pipelines, data integration solutions, and data architecture. Additionally, expertise in Snowflake is required to ensure efficient and scalable data storage, processing, and analytics.

• Bachelor's or Master's degree in computer science, information systems, or a related field is preferred.
• Proven experience (6+ years) as a Senior Data Engineer, with recent hands-on experience in Snowflake, and expertise in DBT.
• Proficiency in Qlik Replicate, Compose, and Github, DBTLabs & Astronomer for data integration, replication, and transformation.
• Strong understanding of data engineering principles, data modeling, ETL processes, and data warehousing concepts.
• Expertise in Snowflake, including data ingestion, storage, performance optimization, and security.
• Experience with cloud platforms, such as AWS or Azure, and working with cloud-based data solutions and services.
• Familiarity with data quality, data governance, and data lifecycle management practices.
• Solid programming skills in SQL and scripting languages (e.g., Python, PowerShell) for data manipulation and automation.
• Strong problem-solving and troubleshooting abilities, with the ability to diagnose and resolve data engineering issues.
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders.
• Ability to perform essential functions of the position, with or without a reasonable accommodation.