Data Engineer

Company Description

Evelyn Partners is a UK leader in wealth management, providing personalised, expert investment management and financial planning advice to support clients in embracing what's next.

Our success hinges on our people and that's our secret for longevity. We are a team of passionate professionals and everything we do is guided by our purpose - placing the power of good advice into more hands, we go further to understand the needs of our clients and what matters most to them. We're here to help them make significant decisions with confidence, provide strong foundations for the future and guide them towards their goals.

Job Description

Job Purpose

Evelyn Partners is recruiting a skilled and experienced Data Engineer to join a growing team to deliver a large data modernisation programme.

As a Data Services Data Engineer, you will be responsible for designing, developing, and maintaining our MS SQL Server Data Warehouses and associated data feeds into and out of the warehouses, and developing on our new modern cloud data platform, requiring Snowflake, dbt and Azure Data Factory experience. Our data platform's support regulatory requirements, business intelligence & reporting needs and numerous system integrations. This role requires strong technical proficiency and a deep understanding of data engineering and data warehousing principles and practices.

You will be critical in the development and support of the new Evelyn Data Platform, which is being engineered on Snowflake, utilising Azure Data Factory pipelines for data integration, dbt for data modelling, Azure BLOB Storage for data storage, and GitHub for version control and collaboration.

The role will be working in an agile and collaborative environment within a growing and skilled team. An understanding of the wealth management industry, including products & services and the associated data, is a plus.

Key Responsibilities

• Design, develop, and implement data warehouse solutions using Snowflake, Azure, and MS SQL Server.

• Develop data models and database schemas that support reporting and analytics needs.

• Extensive use of and fully conversant in SQL.

• Experience working with programming languages like C#, Python, Java, Spark.

• Create and maintain ETL/ELT processes to extract, transform, and load data from various sources into the data platforms.

• Design, develop, and deploy SSIS packages and ADF pipelines.

• Manage and troubleshoot SSIS packages and ADF pipelines, ensuring data integrity and error handling is robust.

• Creation and maintenance of complex SQL stored procedures.

• Integrate data from various sources, including flat files, REST/SOAP APIs, and third-party databases, into the data warehouse/platform.

• Develop and maintain complex stored procedures, views, and functions in SQL to support data integration and reporting needs.

• Collaborate with business analysts, data scientists, and other stakeholders to understand data requirements and deliver solutions.

• Support the development of reports and dashboards using tools like SSRS, Power BI, or similar. Consideration for data warehouse/platform performance, including indexing, partitioning, and query tuning.

• Provide ad-hoc queries and data extracts to support business needs.

• Work closely with other engineers, DBAs, and Tech staff to ensure seamless data integration and system compatibility.

• Document data warehouse architecture, ETL processes, and database configurations.

• Maintain effective relationships with stakeholders and ensure communication is effective and timely.

• Provide time estimates for work so stakeholder expectations and resources can be managed.

• Collaborate with stakeholders to understand business requirements and translate them into technical specifications for data engineering solutions.

• Continuously improve processes and codebases.

• Design and deliver data warehousing solutions and key data engineering workstreams for any required solution.

• Stay up to date with the latest trends, technologies, and best practices in data engineering.

Qualifications

Key Skills and Experience

Technical

• Proven experience building data pipelines in Azure Data Factory and Snowflake.

• Proficiency in MS SQL Server, including T-SQL programming, stored procedures, and functions.

• Extensive experience with SQL Server Integration Services (SSIS) & Visual Studio and Azure Data Factory (ADF) and GitHub, for ETL development.

• Experience building and maintaining reports using SQL Server Reporting Services (SSRS).

• Solid understanding of data warehousing concepts, including star/snowflake schemas, dimensional modelling, and data vault 2.0, and of the principles of ETL technical design

• Experience with SQL Server Analysis Services (SSAS) is a plus.

• Familiarity with data visualization tools such as Power BI or Tableau is desirable.

• Experience with source control tools like Git, and familiarity with DevOps practices is an advantage.

• Ability to write efficient and optimized SQL queries for data retrieval and manipulation.

• Solid understanding of data warehousing concepts and principles

• Snowflake/Cloud Engineering experience is required:

• Proven experience working as a Data Engineer, preferably with expertise in Snowflake, ADF, Azure Storage, dbt and GitHub.

• Extensive experience in designing, building, deploying, and supporting cloud-based data products and pipelines.

• Experience with Azure Storage services such as Blob Storage, Data Lake Storage, or Azure Files.

• Hands-on experience designing and developing data pipelines using Azure Data Factory.

• Experience of data warehouse design and implementation using Snowflake and dbt modelling.

• SnowPro and Microsoft Cloud certifications would be highly desirable.

• Experience with Azure AI Services and/or Snowflake Cortex AI would be a plus.

Non-Technical

• Strong coaching and mentoring skills

• Calm under pressure and keen to highlight others' successes.

• Business Analysis skills to derive requirements from business stakeholders.

• Strong ability to extract information by questioning, active listening, and interviewing.

• Ability to quickly assimilate and understand business processes and information flow.

• Highly numerate with strong analytical and problem-solving skills.

• Ability to work on own initiative within agreed boundaries.

• Ability to work under pressure and manage conflicting priorities.

• Be flexible and adaptable to meet business deliverables.

• Willingness to travel to different office locations as required by the role.

• Understanding of the principles of information security and data protection.

• Ability to communicate with non-technical colleagues at all levels of the organisation with confidence and with clarity.

Professional Qualifications and Education

• SnowPro Core

• SnowPro Advanced: Data Engineer

• Azure Data Fundamentals

• Azure Data Engineer Associate

Additional Information

As a colleague here at Evelyn Partners, you will have access to benefits that include:

• Competitive salary
• Private medical insurance
• Life assurance
• Pension contribution
• Hybrid working model (role dependant)
• Generous holiday package
• Option to purchase additional holiday
• Shared parental leave

We are proud to value the differences that a diverse workforce brings, representative of society and our clients. At Evelyn Partners we have a wide range of highly active employee resource groups and we're delivering multiple diversity, equity and inclusion initiatives across the organisation. It is our commitment to provide a workspace where all colleagues, regardless of identity, background, or circumstance, feel respected as individuals and feel that they can achieve their full potential and work in a safe, supportive, and inclusive environment.

We are happy to make any reasonable adjustments to accommodate for your needs throughout the application process. Please let your Recruiter know.