Senior Analytics Engineer

Promptcube3; United Kingdom; Hybrid; GBP 80,000 - 110,000; Full time

Benefits offered by this job

Stock options

Unlimited holidays

Parental leave

Private healthcare

Well-being initiatives

Annual learning fund

Job summary

Paddle is seeking a Senior Analytics Engineer to shape our data infrastructure, develop scalable data models in Snowflake with dbt, and promote analytics engineering best practices across the business.

You will collaborate with stakeholders to deliver high-value data solutions, mentor junior engineers, and expose datasets to BI tools (Tableau, Looker, Power BI, Snowsight) while ensuring data quality, metadata and documentation.

Qualifications

• Extensive experience in analytics engineering with advanced SQL, dbt and Snowflake.
• Proficient in BI tools to deliver actionable insights for stakeholders.
• Skilled in data ingestion using no-code tools and data activation into operational systems.
• Knowledgeable in metadata, data quality checks and sensitive data masking.
• Excellent collaboration and ability to mentor junior analytics engineers.

Responsibilities

• Create and maintain complex, scalable data models in Snowflake using dbt.
• Expose datasets effectively in BI tooling to enable self-service analytics.
• Perform simple data ingestion tasks using no-code tools and ensure streamlined data flows.
• Add comprehensive metadata, including documentation and data quality checks.
• Activate data by pushing it from Snowflake into other operational tools.
• Lead training sessions and mentor junior analytics engineers.

Skills

Advanced SQL

dbt

Snowflake

BI tools

Tools

Snowflake

dbt

Fivetran

Stitch

Tableau

Looker

Power BI

Snowsight

Job description

## Role informationWhat 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) 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.