Lead Data Engineer

KPMG United Kingdom; Glasgow; Remote; GBP 50,000 - 75,000; Full time

Job summary

A leading consulting firm seeks a Lead Data Engineer to enhance data and AI initiatives within the Tax & Legal practice. The role involves collaboration with various teams to build and manage cloud-based data solutions, requiring strong SQL skills and experience in data modeling and integration. This position offers flexible work arrangements, with remote or part-time options available.

Qualifications

• Proven experience as a data engineer.
• Experience in creating logical data models.
• Strong stakeholder engagement skills.

Responsibilities

• Build and maintain cloud-based data warehouses.
• Assist in creating dashboards and reports.
• Integrate data between systems and external applications.

Skills

SQL programming

Data modeling

Problem solving

DevOps

Data integration

Tools

Azure Data Factory

SQL Server 2017

PowerBI

Qliksense

Python

Job description

Job description

The Team

We are a team of 300+ technologists providing technology enablement services across the Tax and Legal practice.

The team is made up of Product Owners, Business Analysts, Multi-disciplinary Engineering teams and IT Service delivery professionals working on a large portfolio of systems used to improve productivity and solve key business problems.

We also build cutting edge solutions enabling clients to interact with KPMG, maximising collaboration and ensuring seamless delivery of services.

The Role

The Lead Data engineer will primarily work with product owners, solution architects, engineering teams and BI developers to implement and drive forward our Data & AI goals within Tax & legal.

This is an opportunity to work as a "hands on" data engineer, engaging with a variety of stakeholders in engineering teams and the business to deliver business critical solutions. "You will c ollaborate with Enterprise Data Architects and Data engineers' firm wide to align to best practice and the firms Data management policies.

The role can be based anywhere in the UK, though preference will be given to candidates in Glasgow and London. Regular travel to Glasgow or London will be required once travel conditions permit this. Remote or part-time workers are welcome to apply.

Whilst there is no expectation of existing knowledge of tax, we would expect you to develop a degree of domain knowledge over time.

You will have

• Proven experience working as a data engineer.

• Experience creating logical data models, preferably within the financial services sector.
• Strong problem-solving skills with the ability to logically analyse complex requirements, processes and systems to put solutions in place.

• Exceptional SQL programming skills.
• Passion about using data to drive key business decisions.
• Hands-on experience working in a DevOps environment.

• Experience of Data modelling, data warehouse design, data lake concepts and practices.
• Strong people skills, able to engage with a wide range of stakeholders at all levels.

You may have

• Experience of the Azure data platform, especially Data Factory, Data Lake and SQL Data Warehousing (Synapse) and the Common Data Service.

• Experience working within data governance and compliance frameworks.

• Experience creating logical data models, preferably within the financial services sector.
• Experienced in using SQL Server 2017 and SQL Azure.
• Previously used Qliksense, PowerBI or equivalent visualisation tools.
• Python programming skills.

In this role you will

• Build and maintain a cloud-based data warehouse consisting of information pools from several systems.

• Assist our data analysts and development leads in creating dashboards and reports to provide insight to clients.

• Develop data Integrations using Azure analysis services and APIs.
• Integrate data points between Tax Systems and external/client applications.
• Design and build systems for use across multi-cloud platforms.
• Create data- sources to be used by Business Intelligence tools.
• Working on data integration, data quality, data mining and ETL processes.

• Be a technical owner of our data platforms and tools.
• Work as part of a scaled agile team.