Data Consultant

Data Consultant

Full-Time 34000 - 51000 € / year (est.) No home office possible
Ventula Consulting

At a Glance

  • Tasks: Translate business needs into high-quality data assets and lead mapping activities.
  • Company: Join a leading banking client with a focus on enterprise-grade data products.
  • Benefits: Competitive daily rate, hybrid work model, and opportunity to enhance your data skills.
  • Other info: Collaborative environment with opportunities for professional growth.
  • Why this job: Make a real impact in the banking sector by delivering innovative data solutions.
  • Qualifications: 10+ years in data platforms, strong SQL/Excel skills, and banking industry experience.

The predicted salary is between 34000 - 51000 € per year.

An experienced Senior Data Consultant is required to join our banking client on an initial six-month contract to support the delivery of enterprise-grade data products. This role will play a critical part in translating business requirements into well-defined, high-quality, reusable data assets, sitting at the intersection of business, data architecture, and engineering.

The successful candidate will lead source-to-target mapping activities and define, document, and maintain data quality rules in collaboration with data engineers, architects, and governance teams. The ideal candidate will have a strong understanding of data quality concepts, controls, and governance, alongside practical experience supporting the release of data products into production.

You will also possess hands-on data skills in Excel and/or SQL, with a solid understanding of OLAP, OLTP, and relational data structures.

Key Requirements:
  • Banking industry background
  • 10+ years’ experience working on data platforms, data products, or analytics solutions
  • Strong knowledge of data frameworks, standards, and templates
  • Ability to support the release of data products and data assets into production
  • Strong SQL and/or advanced Excel skills
  • Proven experience with source-to-target mapping
  • Strong understanding of data quality concepts and controls
  • Experience working on API-backed data products or Lakehouse architecture (nice to have)
  • Familiarity with data governance operating models and stewardship frameworks (nice to have)

Duration: 6-month

Location: London, (hybrid, travel to office when required)

Data Consultant employer: Ventula Consulting

Join a leading banking institution in London as a Senior Data Consultant, where you will be part of a dynamic team dedicated to delivering enterprise-grade data products. Our company fosters a collaborative work culture that values innovation and professional growth, offering opportunities for continuous learning and development in the fast-evolving field of data analytics. With a hybrid working model, you can enjoy the flexibility of remote work while still engaging with your colleagues in the office, making it an ideal environment for those seeking meaningful and rewarding employment.

Ventula Consulting

Contact Detail:

Ventula Consulting Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Consultant

Tip Number 1

Network like a pro! Reach out to your connections in the banking and data sectors. We all know that sometimes it’s not just what you know, but who you know. Attend industry meetups or webinars to make those valuable connections.

Tip Number 2

Show off your skills! Create a portfolio showcasing your data projects, especially those involving SQL and data quality. We want to see your hands-on experience, so don’t be shy about sharing your successes and how you’ve tackled challenges.

Tip Number 3

Prepare for interviews by brushing up on your knowledge of data governance and quality concepts. We recommend practising common interview questions related to source-to-target mapping and data product releases. Confidence is key!

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged. Don’t miss out on the chance to land that Senior Data Consultant role!

We think you need these skills to ace Data Consultant

Data Quality Concepts
Data Governance
Source-to-Target Mapping
SQL
Advanced Excel Skills
Data Architecture
Data Engineering

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Data Consultant role. Highlight your experience in data quality, governance, and any relevant banking industry background. We want to see how your skills match what we're looking for!

Showcase Your Skills:Don’t forget to showcase your hands-on skills in SQL and Excel. Include specific examples of how you've used these tools in past projects. This will help us see your practical experience in action!

Be Clear and Concise:When writing your application, keep it clear and concise. Use bullet points where possible to make it easy for us to read through your qualifications and experiences. We appreciate a straightforward approach!

Apply Through Our Website:Finally, make sure to apply through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!

How to prepare for a job interview at Ventula Consulting

Know Your Data Inside Out

Make sure you brush up on your data quality concepts and governance frameworks. Be ready to discuss how you've applied these in past roles, especially in the banking sector. This will show that you understand the critical nature of data in business.

Showcase Your Technical Skills

Prepare to demonstrate your SQL and Excel skills during the interview. You might be asked to solve a problem or analyse a dataset on the spot, so practice common queries and data manipulation techniques beforehand.

Understand the Business Context

Familiarise yourself with the banking industry and the specific challenges it faces regarding data management. Being able to relate your experience to their business needs will set you apart from other candidates.

Prepare for Scenario-Based Questions

Expect questions about source-to-target mapping and how you've handled data quality issues in the past. Think of specific examples where you successfully led projects or collaborated with teams to deliver data products.