Data Platform Consultant (C3)

Snap Analytics; Bristol; On-site; GBP 46,000 - 55,000; Full time

Job summary

A leading data consulting firm in Bristol is seeking a Data Platform Consultant to lead client initiatives and deliver high-impact data solutions. The ideal candidate has strong SQL skills, experience with tools like Matillion, and a deep understanding of cloud platforms. This role involves mentoring junior team members and engaging directly with clients to unlock the potential of data.

Qualifications

• Strong SQL skills and experience with data warehousing and ETL tools like Matillion.
• Deep familiarity with cloud platforms like Snowflake, Redshift, BigQuery, or Synapse.
• Experience mentoring others and driving internal improvements.

Responsibilities

• Managing priorities independently across projects.
• Building data pipelines and models using SQL and Snowflake.
• Facilitating discussions with clients.

Skills

Strong SQL skills

Experience with data warehousing

Knowledge of ETL tools like Matillion

Familiarity with cloud platforms

Consultative mindset

Tools

SQL

Matillion

Snowflake

Redshift

BigQuery

Synapse

Job description

Overview

Application Deadline: 19 September 2025

Department: Data Platforms

Employment Type: Full Time

Location: Bristol, UK

Reporting To: Mark Todkill

Compensation: £46,000 - £55,000 / year

Description

Please note: We use banding codes (e.g., C1, C2, C3) to reflect different levels of experience and competency within each job title. These bands range from 1 to 3, with higher numbers indicating more senior roles. While the job title remains the same, the responsibilities and expectations vary by band, so we encourage candidates to read the role description carefully and apply for the banding that best aligns with their experience and career stage.

Why this role exists… We partner with clients across industries to help them unlock the full potential of their data, and we’re growing fast.

As demand for data-driven decision-making continues to grow, so does the need for expert guidance in turning raw data into actionable insights.

We’re looking for a Data Platform Consultant who can lead initiatives, build strong client relationships, and deliver high-impact data solutions. This role is central to driving outcomes for our clients and mentoring junior team members.

You’ll be joining a collaborative, curious, and client-focused team that’s passionate about making data meaningful. If you enjoy leading projects, solving complex problems, and shaping the future of data consulting, this could be a great fit.

What you'll be doing...

You’ll lead the delivery of data solutions for our clients, working closely with stakeholders to understand business needs and implement high-quality outcomes.

Core responsibilities

• Managing priorities independently and driving outcomes across projects
• Building data pipelines and models using tools like SQL, Snowflake, and Matillion
• Facilitating discussions with clients, adapting your style to different audiences
• Offering multiple approaches to solve problems and balancing trade-offs
• Mentoring junior colleagues and contributing to internal improvements
• Identifying opportunities to add business value and strengthen client relationships

Success in first 3–6 months

• Leading a small team to deliver a complex data solution
• Facilitating a workshop with a client to shape project direction
• Receiving positive feedback on your leadership and strategic thinking

What you'll need to succeed...

We’re looking for someone who brings technical expertise, consulting experience, and leadership capability.

You might be a great fit if you have:

• Strong SQL skills and experience with data warehousing and ETL tools like Matillion
• Deep familiarity with cloud platforms like Snowflake, Redshift, BigQuery, or Synapse
• A consultative mindset and ability to build consensus across stakeholders
• Experience mentoring others and driving internal improvements

This role might not be the right fit if you’re looking for:

• A purely technical role with minimal client interaction
• A focus on data science or machine learning rather than data engineering and analytics