Senior Analytics Engineer

Posted 6 Days Ago
Be an Early Applicant
3 Locations
Remote
Senior level
Fintech • Information Technology • Payments • Software
Paddle is your payments infrastructure in a single platform
The Role
Design and maintain scalable data models in Snowflake using dbt, expose datasets via BI tools, manage ingestion and data activation, enforce data quality and metadata, mentor junior engineers, and lead training to enable self-service analytics.
Summary Generated by Built In

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 6000 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.


Our Values

  • 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”

Why you’ll love working at Paddle

We are a diverse, growing group of Paddlers across the globe who pride ourselves on our transparent, collaborative and respectful culture.

We are a ‘digital-first’ company, which means you can work remotely, from one of our stylish hubs, or even a bit of both! We offer all team members unlimited holidays and 4 months paid family leave regardless of gender. 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.

Skills Required

  • Extensive experience in analytics engineering or related data roles
  • Advanced SQL proficiency
  • Hands-on experience with dbt
  • Experience working with Snowflake
  • Proficiency with BI tools (Tableau, Looker, PowerBI, Snowsight)
  • Experience with no-code data ingestion/activation tools (Fivetran, Stitch)
  • Knowledge of metadata management, documentation, data quality checks, and sensitive data masking
  • Ability to collaborate with stakeholders and translate business needs into data solutions
  • Experience leading trainings and mentoring junior analytics engineers

Paddle Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Paddle and has not been reviewed or approved by Paddle.

  • Leave & Time Off Breadth Time off is framed as flexible or unlimited, with an added work-from-abroad allowance within a digital-first model. This creates broad latitude for rest and mobility.
  • Parental & Family Support Paid parental leave is presented as substantially generous for both birthing/primary caregivers and partners. Family-focused support sits prominently alongside core benefits.
  • Healthcare Strength Private healthcare is included, with mental-health support and regional medical, dental, and vision coverage referenced. Health partnerships and support programs are highlighted across locations.

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The Company
HQ: London
355 Employees
Year Founded: 2012

What We Do

Paddle offers SaaS companies a completely different approach to their payments infrastructure. Instead of assembling and maintaining a complex stack of payments-related apps and services, we’re a Merchant of Record for our customers, taking away 100% of the pain of payments fragmentation. It’s faster, safer, cheaper, and, above all, way better. We have over 230+ talented employees serving over 3000 software sellers in 245 territories globally. Backed by investors including FTV Capital, Kindred, Notion, and 83North, Paddle aims to define the next wave of B2B SaaS leaders.

Why Work With Us

At Paddle we care deeply about enabling a great culture which is inclusive no matter your background. We celebrate our diverse group of talented employees and we pride ourselves on our transparent, collaborative, friendly and respectful culture. We live and breathe our core values: Exceptional Together Execute with impact Better than Yesterday

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