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- Tasks: Design and implement innovative data solutions for financial services clients.
- Company: Join Projective Group, a leader in data-driven consultancy for the financial industry.
- Benefits: Enjoy top-tier training, generous development budget, bonuses, and a great work-life balance.
- Why this job: Shape impactful data strategies in a collaborative environment with stunning views of the Thames.
- Qualifications: 5+ years in data architecture, proficiency in SQL/Python, and experience in financial services consultancy.
- Other info: Diversity and inclusion are celebrated; adjustments during recruitment are welcomed.
The predicted salary is between 43200 - 72000 £ per year.
Data Engineer / Data Architect
Are you passionate about shaping data strategies and delivering client value through consultancy-driven insights and cutting-edge solutions?
Do you have previous Consultancy Firm experience?
Join Projective Group and play a pivotal role in delivering innovative data solutions for some of the financial industry’s most forward-thinking organisations.
At Projective Group, we help leading organisations solve their toughest challenges through innovative solutions in Data, Risk & Compliance, Payments, Transformation, and Talent. To drive this mission forward, we are looking for a Data Engineer / Data Architect to design and implement cutting-edge data solutions that empower our clients to thrive in a rapidly evolving industry.
About the role:
As a Data Engineer / Data Architect, you will lead the design and delivery of enterprise-level data solutions. Working closely with stakeholders across financial services, you will leverage your expertise to build scalable architectures, optimise data pipelines, and ensure data enables strategic decision-making.
You’ll bring not just technical expertise but also a consultancy mindset, enabling you to understand client needs and drive impactful data strategies.
Key Responsibilities:
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Design and implementation of robust, scalable enterprise data architectures.
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Develop and optimise modern data warehousing systems and data models (e.g., dimensional, data vault).
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Build and maintain efficient ETL processes and scalable data pipelines.
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Collaborate with cross-functional teams to translate complex data requirements into innovative technical solutions.
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Ensure data quality, governance, and security, aligning with industry and regulatory standards.
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Act as a mentor to junior engineers, sharing knowledge and driving best practices.
What we are looking for:
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You bring 5+ years of experience in data architecture and engineering, with a proven ability to deliver enterprise-level solutions.
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Experience in financial services consultancy.
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Knowledge of data modelling techniques (dimensional modelling, data vault, etc.).
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Proficiency in SQL and Python.
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Experience with cloud-based data platforms (preferably Snowflake and/or Databricks).
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A consultative approach to problem-solving, with strong interpersonal and communication skills to liaise effectively with clients and stakeholders.
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Bachelor’s degree in Computer Science, Information Systems, or related field.
Preferred Qualifications:
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Experience working in financial services, regulated environments, or as part of a consultancy team is highly advantageous.
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Familiarity with tools like DBT, Fivetran, Dataiku, or Alteryx.
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Interest or experience in AI/ML and real-world application to data engineering solutions.
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Knowledge of data governance and compliance requirements in the financial sector.
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Familiarity with Agile methodologies.
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Certifications in leading platforms such as SnowPro, AWS, Azure, or GCP are a plus.
Why Choose Projective Group?
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Join a consultancy that invests in your career with top-tier training, professional coaching, and a generous development budget.
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Non-contributory pension plan, two types of bonuses, good holiday allowance, and healthcare.
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Work on impactful, large-scale projects with innovative tools and clients at the forefront of the financial and legal industries.
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Fantastic company culture valuing diversity, creativity, work-life balance, fun, and well-being.
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The opportunity to further your career in a state-of-the-art London-based workspace with stunning views of the Thames, which even includes in-house bars!
Ready to shape the future of data architecture? Apply now and join Projective Group to deliver impactful solutions, drive innovation, and accelerate your career in a collaborative and forward-thinking environment.
Ok, I’m sold; what happens next?
Simply click the apply button, contact us for a chat or visit our website at and discover a world of opportunities where your skills can shape the future of Financial Services.
Apply now and discover the possibilities….
At Projective Group, we celebrate diversity and inclusion. We welcome all candidates across all backgrounds, ethnicities, genders, religions, abilities, and neurodivergent perspectives. Please let us know if you require any adjustments during the recruitment process.
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Data Engineer / Data Architect employer: Projective Group
Contact Detail:
Projective Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer / Data Architect
✨Tip Number 1
Make sure to highlight your consultancy experience during the interview. Discuss specific projects where you successfully delivered data solutions and how you collaborated with clients to understand their needs.
✨Tip Number 2
Familiarize yourself with the latest trends in data architecture and engineering, especially in the financial services sector. Being able to discuss current challenges and innovations will demonstrate your passion and expertise.
✨Tip Number 3
Prepare to showcase your technical skills in SQL and Python. Consider bringing examples of your work or discussing specific problems you've solved using these technologies to illustrate your capabilities.
✨Tip Number 4
Network with professionals in the financial services and data engineering fields. Attend relevant meetups or webinars to connect with potential colleagues and gain insights into the industry, which can be beneficial during your application process.
We think you need these skills to ace Data Engineer / Data Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data architecture and engineering, especially within financial services consultancy. Use specific examples that demonstrate your ability to deliver enterprise-level solutions.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data strategies and consultancy-driven insights. Mention how your skills align with the key responsibilities of the role and how you can contribute to Projective Group's mission.
Showcase Technical Skills: Clearly outline your proficiency in SQL, Python, and any cloud-based data platforms like Snowflake or Databricks. Include any relevant certifications that demonstrate your expertise in these areas.
Highlight Consultancy Experience: Emphasize your previous consultancy firm experience and your consultative approach to problem-solving. Provide examples of how you've successfully collaborated with clients and stakeholders to drive impactful data strategies.
How to prepare for a job interview at Projective Group
✨Showcase Your Consultancy Experience
Since the role emphasizes previous consultancy firm experience, be prepared to discuss specific projects where you delivered data solutions. Highlight your ability to understand client needs and how you translated those into actionable strategies.
✨Demonstrate Technical Proficiency
Make sure to brush up on your SQL and Python skills, as well as your knowledge of data modeling techniques like dimensional modeling and data vault. Be ready to discuss how you've applied these skills in real-world scenarios.
✨Discuss Data Governance and Compliance
Given the focus on financial services, it's crucial to demonstrate your understanding of data governance and compliance requirements. Prepare examples of how you've ensured data quality and security in past projects.
✨Emphasize Collaboration Skills
The role requires collaboration with cross-functional teams. Share experiences where you successfully worked with diverse groups to achieve a common goal, showcasing your strong interpersonal and communication skills.
