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- Tasks: Lead data engineering projects and collaborate with teams to drive Data & AI goals.
- Company: Join KPMG, a world leader in consultancy with a start-up vibe.
- Benefits: Hybrid work model, clear career progression, and access to cutting-edge technology.
- Why this job: Make a real impact in a dynamic environment while working on high-profile projects.
- Qualifications: Proven experience as a Lead Data Engineer with strong SQL and problem-solving skills.
- Other info: Engage with diverse stakeholders and enjoy excellent career growth opportunities.
The predicted salary is between 43200 - 72000 £ per year.
The KPMG Tax & Legal Technical Engineering function is a cornerstone of our business. We do work that matters to our local business and communities - supporting technical innovation and adoption of cutting edge solutions across the United Kingdom. This team will be responsible for delivering technology enabled outcomes across the Tax & Legal business using modern and best in class engineering methodologies. We drive this transformation through the adoption of Cloud based technologies and have strategic relationships with Google, Microsoft among others. We have a technology agnostic view and select the right tool/language/cloud provider to achieve the best outcome for the business and our clients alike.
KPMG is one of the world's largest and most respected consultancy businesses, we've supported the UK through times of war and peace, prosperity and recession, political and regulatory upheaval. We've proudly stood beside the institutions and businesses which make the UK what it is.
Why Join the KPMG Tax & Legal Technology Engineering team as Lead Data Engineer? We might be world leaders in Tax & Legal, but in many ways the engineering department feels like a start-up, with a twist. There's the buzz of scrum working, the thrill of shaping compelling experiences, the chance to surprise and stretch yourself in response to a fresh challenge. And then there's all the resources, technology and high-profile projects of a major corporate entity. Crucially, we also offer the benefit of clear career progression.
What will you be doing? 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. In this role you will:
- Collaborate with Enterprise Data Architects and Data engineers firm wide to align to best practice and the firms Data management policies.
- 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.
- Work on data integration, data quality, data mining and ETL processes.
- Be a technical owner of our data platforms and tools.
What will you need to do it?
- Proven experience working as a Lead 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.
- Hands-on experience working in a DevOps environment.
- Experience of Data modelling, data warehouse design, data lake concepts and practices.
- Excellent people skills, able to engage with a wide range of stakeholders at all levels.
Skills we'd love to see/Amazing Extras:
- 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.
- Experienced in using SQL Server 2017 and SQL Azure.
- Previously used Qliksense, PowerBI or equivalent visualisation tools.
- Python programming skills.
Lead Data Engineer in Glasgow employer: Cyber Security training courses
Contact Detail:
Cyber Security training courses Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer in Glasgow
✨Tip Number 1
Get to know the company inside out! Research KPMG's values, recent projects, and their approach to technology. This will help you tailor your conversations and show that you're genuinely interested in being part of their team.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 3
Prepare for those tricky interview questions! Think about how your experience aligns with the role of Lead Data Engineer. Use the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining KPMG and ready to make an impact.
We think you need these skills to ace Lead Data Engineer in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Data Engineer role. Highlight your experience with cloud technologies, data integration, and any relevant projects that showcase your skills in SQL and data modelling.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background aligns with KPMG's goals in Tax & Legal. Don't forget to mention your problem-solving skills and teamwork experience.
Showcase Your Technical Skills: Be specific about your technical expertise in your application. Mention your hands-on experience with Azure, SQL Server, and any data visualisation tools you've used. This will help us see how you can contribute to our team right away.
Apply Through Our Website: We encourage you to apply through our website for a smooth application process. It’s straightforward—create a profile, upload your CV, and let us know why you’d be a great fit for the Lead Data Engineer position!
How to prepare for a job interview at Cyber Security training courses
✨Know Your Data Inside Out
As a Lead Data Engineer, you’ll need to demonstrate your expertise in data modelling and cloud technologies. Brush up on your SQL skills and be ready to discuss your experience with Azure services, especially Data Factory and Data Lake. Prepare examples of how you've tackled complex data challenges in the past.
✨Showcase Your Problem-Solving Skills
KPMG values strong problem-solving abilities. Think of specific instances where you've logically analysed complex requirements and implemented effective solutions. Be prepared to walk through your thought process during the interview, as this will highlight your analytical skills.
✨Engage with Stakeholders
Since the role involves collaborating with various stakeholders, practice articulating how you’ve successfully engaged with different teams in previous roles. Share examples of how you’ve communicated technical concepts to non-technical audiences, as this will showcase your excellent people skills.
✨Familiarise Yourself with KPMG's Values
Before the interview, take some time to understand KPMG’s values and competencies. Align your experiences and answers to reflect these values, showing that you’re not just a fit for the role but also for the company culture. This can make a significant difference in how you’re perceived by the interviewers.