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remoteroles

Senior Analytics Engineer

Paddle paddle.com Open
Remote United Kingdom Full-time Senior Data Analysis & BI

At a glance

Senior Data Analysis & BI role at Paddle. Remote, United Kingdom · full-time · no salary stated · we estimate £45,000–£90,000 across the United Kingdom.

Estimated pay

Paddle has not published a salary for this role. The figure below is our estimate, not theirs.

£45,000 – £90,000
What the middle half of senior data analysis & BI roles in the United Kingdom paid, among postings that did state a salary.
Worked out from 29 postings that stated pay, median £70,000. Last updated Oct 28, 2026.
RoleData Analysis & BI
SenioritySenior
LocationUnited Kingdom
WorkplaceRemote
EmploymentFull-time
PostedAug 13, 2026
Role brief

remoteroles summary, based on the employer's posting.

What you'll do

  • Build and support complex, scalable data models in Snowflake with dbt
  • Make datasets accessible through BI tools so business teams can analyze data themselves
  • Use no-code tools to ingest data and move Snowflake data into operational systems
  • Add dataset documentation, quality checks and sensitive-data masking, then flag issues to process owners
  • Train teams on BI tools and mentor junior analytics engineers through knowledge-sharing

What you bring

  • You bring extensive experience in analytics engineering or a related data role, with strong SQL, dbt and Snowflake skills
  • You can use BI tools to turn data into clear, actionable insights for business stakeholders
  • You have experience with no-code data ingestion and activation, plus dataset metadata, documentation, quality checks and masking
  • You work with stakeholders to understand their data needs and have led training or informally mentored junior team members

Who this fits

This senior role suits an analytics engineer who wants to build data models and improve self-service analytics while supporting team development. It is listed as remote in the UK.

From the employer

What do we do?

Paddle offers digital product companies a completely different approach to their payment infrastructure. Instead of assembling and maintaining a complex stack of payments-related apps and services, we’re a Merchant of Record for our customers. That means we take away 100% of the pain of payment fragmentation. It’s faster, safer, cheaper, and, above all, way better.

We’re backed by investors including KKR, FTV Capital, Kindred, Notion, and 83North and serve over 10,000 software sellers in 245 territories globally.

The Role:

We are seeking a Senior Analytics Engineer to drive significant business impact by shaping our data infrastructure, developing robust data models, and promoting best practices in analytics engineering (e.g., data quality, documentation, and scalable data architectures). You will collaborate closely with business stakeholders to identify and deliver high-value data solutions and provide informal mentorship to junior team members, fostering their growth and enhancing team capabilities.

What you'll do:

  • Create and maintain complex, scalable data models in Snowflake using dbt.

  • Expose datasets effectively in BI tooling to enable robust self-service analytics.

  • Perform simple data ingestion tasks using no-code tools and ensure streamlined data flows.

  • Add comprehensive metadata to datasets, including documentation, data quality checks, and sensitive data masking.

  • Activate data by pushing it from Snowflake into other operational tools.

  • Proactively identify and raise data quality issues to the respective process owners for resolution.

  • Lead training sessions and initiatives to drive adoption and effective use of BI tools across the organization.

  • Mentor junior analytics engineers, fostering knowledge-sharing and professional growth.

We'd love to hear from you if you:

  • Extensive experience in analytics engineering or related data roles, with demonstrated expertise in advanced SQL, dbt, and Snowflake.

  • Proficient in using BI tools (e.g. Tableau, Looker, PowerBI, Snowsight) to deliver clear, actionable insights for business stakeholders.

  • Skilled in performing data ingestion and activation using no-code tools (e.g. Fivetran, Stitch), ensuring efficient data integration into operational systems.

  • Knowledgeable in managing metadata, documentation, data quality checks, and sensitive data masking effectively.

  • Effective at collaborating closely with diverse stakeholders, understanding their data needs, and delivering impactful solutions.

  • Experienced in conducting training sessions and providing informal mentorship to junior analytics team members, fostering a collaborative and knowledge-sharing environment.

Everyone is welcome at Paddle

At Paddle, we’re committed to removing invisible barriers, both for our customers and within our own teams. We recognise and celebrate that every Paddler is unique and we welcome every individual perspective. As an inclusive employer, we don’t care if, or where, you studied, what you look like or where you’re from. We’re more interested in your craft, curiosity, passion for learning and what you’ll add to our culture. We encourage you to apply even if you don’t match every part of the job ad, especially if you’re part of an underrepresented group.

Please let us know if there’s anything we can do to better support you through the application process and in the workplace. We will do everything we can to support any accommodations needed. We’re committed to building a diverse team where everyone feels safe to be their authentic self. Let’s grow together.

Why you’ll love working at Paddle

We’re a diverse, growing group of Paddlers who pride ourselves on our transparent, collaborative and respectful culture.

We live and breathe our values, which are:

  • Paddle Together - “None of us, is as smart as all of us”

  • Paddle Simply - “Simple can be harder than complex: you have to get your thinking clean to make it simple”

  • Paddle for others - “We can realise our wildest dreams, so long as we help enough other people to realise theirs”

We offer a full suite of benefits, including attractive salaries, stock options, unlimited holidays, enhanced parental leave, retirement plans, private healthcare and well-being initiatives.

We invest in learning and will help you with your personal development via constant exposure to new challenges, an annual learning fund, and regular internal and external training.

Connecting at Paddle

We’re a ‘digital-first’ company, which means our Paddlers always have the freedom to choose where, when and how they work within our hub locations.

We recognize that where our Paddlers do their best work is unique to them and we provide trust and autonomy for everyone to work in a way which fits them best. We also value the power of connection and have invested in global hubs which help local communities flourish and bring us together for focused collaboration.

Our Paddle hubs:

  • In Europe: UK (London headquarters), Portugal (Lisbon hub), Netherlands and Ireland (Dublin hub)

  • In North America: Austin, TX (USA) and Toronto (Canada)

  • In APAC: Singapore

Our hub philosophy creates an engaging experience for all Paddlers, wherever, whenever and however we choose to work.

To support this, we focus hiring within our hubs and will always openly share the available locations for each open position on our job description.

Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Analysis & BIRemote

Find me work

By the team behind remoteroles.

Find me work
Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind remoteroles.