Data Platform Consultant (C1)

Snap Analytics; Bristol; On-site; GBP 30,000 - 40,000; Full time

Job summary

A data consultancy in Bristol is looking for a Junior–Mid-Level Data Platform Consultant to support clients in their data solutions. The ideal candidate will possess strong SQL skills and a desire to learn in a collaborative environment. Responsibilities include building data pipelines and working closely with senior consultants. This role offers opportunities for growth and skills development in data analytics.

Qualifications

• Strong SQL skills and some experience with data warehousing or ETL tools.
• Exposure to cloud platforms like Snowflake, Redshift, BigQuery, or Synapse.
• A desire to learn and grow in a consulting environment.

Responsibilities

• Managing own deliverables with guidance.
• Building data pipelines and models using tools like SQL, Snowflake, and Matillion.
• Communicating clearly with clients and peers.

Skills

Strong SQL skills

Experience with data warehousing or ETL tools

Exposure to cloud platforms like Snowflake, Redshift, BigQuery, or Synapse

Clear communication skills

Collaborative attitude

Tools

SQL

Snowflake

Matillion

Job description

Data Platform Consultant (C1)

Application Deadline: 19 September 2025

Department: Data Platforms

Employment Type: Full Time

Location: Bristol, UK

Reporting To: Mark Todkill

Compensation: £30,000 - £40,000 / 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…

As demand for data-driven decision-making continues to grow, so does the need for expert guidance in turning raw data into actionable insights. At Snap, we partner with clients across industries to help them unlock the full potential of their data, and we’re growing fast (156% in the last 12 months).

We’re looking for a Junior–Mid-Level Data Platform Consultant who’s eager to learn, enjoys solving problems, and thrives in collaborative environments. This role is ideal for someone early in their consulting journey who wants to build strong technical foundations while growing their confidence in client-facing work.

You’ll be joining a supportive, curious, and client-focused team that’s passionate about making data meaningful. If you’re excited to contribute, learn from experienced colleagues, and grow your skills across industries, this could be a great fit.

You’ll support the delivery of data solutions for our clients, working closely with senior consultants and client stakeholders to understand requirements and implement high-quality outcomes.

What you'll be doing...

Your core responsibilities will include:

• Managing your own deliverables with guidance and contributing to team success
• Building data pipelines and models using tools like SQL, Snowflake, and Matillion
• Asking for help when unsure, checking in regularly, and learning from feedback
• Communicating clearly with clients and peers, sharing updates and listening actively
• Contributing ideas to solve problems and adapting to changing project needs
• Showing initiative in your development and supporting colleagues where you can

In your first 3–6 months, success might look like:

• Delivering your first end-to-end data pipeline with support from your team
• Receiving positive feedback on your collaboration and willingness to learn
• Building rapport with at least one client team and contributing to meetings

What you'll need to succeed...

We’re looking for someone who brings curiosity, a growth mindset, and a solid technical foundation.

You might be a great fit if you have:

• Strong SQL skills and some experience with data warehousing or ETL tools
• Exposure to cloud platforms like Snowflake, Redshift, BigQuery, or Synapse
• A desire to learn and grow in a consulting environment
• Clear communication skills and a collaborative attitude

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