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- Tasks: Lead data engineering projects and collaborate with diverse teams to drive innovation.
- Company: Join KPMG, a global leader in consultancy with a start-up vibe.
- Benefits: Competitive salary, career progression, and access to cutting-edge technology.
- Other info: Dynamic environment with opportunities for personal and professional growth.
- Why this job: Make a real impact in Tax & Legal while working with top-tier tech.
- Qualifications: Proven experience as a Lead Data Engineer with strong SQL skills.
The predicted salary is between 48000 - 72000 £ per year.
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.
Responsibilities:
- Collaborate with Enterprise Data Architects and Data engineers firm wide to align to best practice and the firm's 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.
Qualifications:
- 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.
A Disability Confident employer will generally offer an interview to any applicant that declares they have a disability and meets the minimum criteria for the job as defined by the employer.
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.
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.
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.
Lead Data Engineer in Ringway employer: KPMG International Cooperative
Contact Detail:
KPMG International Cooperative Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer in Ringway
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. It’s all about making connections that can help you get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving Azure and SQL. This will give you an edge when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to data integration and cloud platforms. Practice explaining your thought process clearly; it’s not just about the right answer!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Plus, it’s a great way to ensure your application gets noticed.
We think you need these skills to ace Lead Data Engineer in Ringway
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Data Engineer role. Highlight your experience with data modelling, cloud-based solutions, and any relevant tools like Azure or SQL. We want to see how your skills align with our Data & AI goals!
Showcase Your Projects: Include specific projects where you've implemented data solutions or collaborated with stakeholders. This gives us a clear picture of your hands-on experience and problem-solving skills. Don't be shy about sharing your successes!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you're passionate about this role and how your background makes you a perfect fit. We love seeing enthusiasm and a genuine interest in our work at StudySmarter.
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It streamlines the process for us and ensures your application gets to the right people. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at KPMG International Cooperative
✨Know Your Data Inside Out
As a Lead Data Engineer, you’ll need to demonstrate your expertise in data modelling and cloud-based solutions. Brush up on your knowledge of Azure Data Factory, SQL Data Warehousing, and any relevant tools like PowerBI or Qliksense. Be ready to discuss specific projects where you've successfully implemented these technologies.
✨Showcase Your Problem-Solving Skills
Prepare to tackle complex scenarios during the interview. Think of examples where you've logically analysed requirements and put effective solutions in place. Highlight your experience with ETL processes and data quality management, as these are crucial for the role.
✨Engage with Stakeholders
Since this role involves collaboration with various stakeholders, practice articulating how you’ve effectively communicated and engaged with different teams in the past. Share instances where your people skills helped bridge gaps between technical and non-technical teams.
✨Demonstrate Your Hands-On Experience
Be prepared to discuss your hands-on experience in a DevOps environment. Talk about specific tools and methodologies you've used, and how they contributed to successful project outcomes. This will show that you’re not just a theoretical expert but also someone who can get things done.