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For Companies At a Glance
- Tasks: Design and implement innovative data solutions for financial services, bridging tech and business.
- Company: Join Projective Group, a leader in solving data challenges for top financial organizations.
- Benefits: Enjoy a non-contributory pension, bonuses, healthcare, and a vibrant work environment with stunning views.
- Why this job: Shape impactful data strategies while collaborating with diverse teams in a fun, creative culture.
- Qualifications: Experience in financial services consultancy, data architecture, SQL, Python, and cloud platforms required.
- Other info: Mentorship opportunities and a generous development budget to boost your career.
The predicted salary is between 44000 - 68000 £ per year.
Financial Services Data Consultant (Data Architecture & Engineering) – £55k to £85k
Are you passionate about shaping data strategies and delivering innovative solutions beyond traditional data architecture?
Join Projective Group and play a pivotal role in driving cutting-edge data solutions for leading financial services organisations.
At Projective Group, we help businesses solve their toughest challenges across Data, Risk & Compliance, Payments, Transformation, and Talent. To support this mission, we are looking for a Data Consultant with expertise across Data Architecture, Engineering, Governance, and Analytics to design and implement solutions that empower our clients in a rapidly evolving industry.
About the Role
As a Financial Services Data Consultant, you will work across data strategy, architecture, engineering, and governance to deliver scalable, high-impact data solutions. Collaborating closely with cross-functional teams, you will bridge the gap between technical implementation and business value, ensuring data drives strategic decision-making.
This role offers a unique opportunity to work across multiple disciplines, shaping solutions that go beyond architecture alone.
Key Responsibilities
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Design and implement scalable, enterprise-grade data solutions that align with business objectives.
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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 enhance robust ETL processes and data pipelines to support data integration and analytics.
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Contribute to data strategy, ensuring strong governance, data quality, and regulatory compliance.
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Work closely with stakeholders to translate complex business challenges into technical solutions that add value beyond architecture.
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Collaborate with teams across engineering, analytics, and business functions to ensure holistic data solutions.
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Mentor junior engineers, fostering best practices in data development and architecture.
What We Are Looking For
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Previous Financial Services Consultancy experience.
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Experience across data architecture, data engineering, and data strategy.
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A background in Enterprise Data Architecture, as well as related areas like Data Warehousing, Data Governance, Data Quality, Data Modelling, and Analytics.
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Technical expertise in SQL and Python.
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Experience with cloud-based data platforms (e.g., Snowflake, Databricks) and tools such as DBT, Fivetran, Dataiku, or Alteryx is a plus.
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Ability to work across disciplines, ensuring solutions integrate architecture, engineering, governance, and analytics.
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Strong problem-solving and communication skills, with the ability to influence both technical and non-technical stakeholders.
Additional Skills (Nice to Have)
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Interest or experience in AI/ML and its application to data engineering solutions.
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Familiarity with Agile methodologies.
Why Join 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 Financial Data Solutions?
Apply now and discover the possibilities….
Keywords: Data Architect | Data Engineer | Data Solutions | Enterprise Data Architecture | Financial Services Data | Cloud Data Platforms | Snowflake | Databricks | ETL Pipelines | Python SQL | Data Modelling | AI/ML | Consultancy Careers | Financial Data Infrastructure | Data Governance
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Financial Services Data Consultant (Data Architecture & Engineering) employer: Projective Group
Contact Detail:
Projective Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Financial Services Data Consultant (Data Architecture & Engineering)
✨Tip Number 1
Make sure to showcase your previous experience in financial services consultancy. Highlight specific projects where you designed and implemented data solutions, as this will resonate with the role's requirements.
✨Tip Number 2
Familiarize yourself with the latest trends in data architecture and engineering, especially in the financial sector. Being able to discuss innovative solutions and how they can be applied will set you apart during interviews.
✨Tip Number 3
Network with professionals in the financial services and data engineering fields. Attend relevant meetups or webinars to connect with potential colleagues and learn more about the challenges they face.
✨Tip Number 4
Prepare to discuss how you can bridge the gap between technical implementation and business value. Think of examples where you've successfully translated complex data challenges into actionable business strategies.
We think you need these skills to ace Financial Services Data Consultant (Data Architecture & Engineering)
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Financial Services Data Consultant position. Understand the key responsibilities and required skills, especially in data architecture, engineering, and governance.
Tailor Your CV: Customize your CV to highlight relevant experience in financial services consultancy, data architecture, and engineering. Emphasize your technical skills in SQL and Python, as well as any experience with cloud-based data platforms.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data solutions and your ability to bridge technical implementation with business value. Mention specific projects or experiences that demonstrate your expertise in data strategy and governance.
Highlight Soft Skills: In your application, don't forget to mention your strong problem-solving and communication skills. Provide examples of how you've influenced both technical and non-technical stakeholders in previous roles.
How to prepare for a job interview at Projective Group
✨Showcase Your Financial Services Experience
Make sure to highlight your previous consultancy experience in financial services. Be prepared to discuss specific projects where you successfully implemented data solutions and how they added value to the business.
✨Demonstrate Technical Expertise
Be ready to talk about your technical skills, especially in SQL and Python. If you have experience with cloud-based platforms like Snowflake or Databricks, mention those as well, as they are highly relevant to the role.
✨Bridge Technical and Business Perspectives
Prepare examples of how you've translated complex business challenges into technical solutions. This will show your ability to connect data architecture with business objectives, which is crucial for this position.
✨Emphasize Collaboration and Mentorship
Discuss your experience working with cross-functional teams and mentoring junior engineers. Highlighting your collaborative approach and commitment to best practices in data development will resonate well with the interviewers.
