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SENIOR CREDIT RISK ANALYST

LONDON | £55,000 – £70,000

This is an exciting opportunity to join a high-growth fintech that is transforming consumer lending through data, technology, and innovative credit decisioning. You’ll play a key role in shaping credit card strategy, using advanced analytics to influence lending decisions and drive the performance of a rapidly expanding portfolio.

THE COMPANY

They are a leading fintech business that has built a reputation for challenging traditional lenders through technology and data-driven decision making. With continued investment in analytics, machine learning, and innovative data sources, they have created a fast-paced environment where ideas are implemented quickly and individual contributions have a visible impact. Their collaborative culture gives analysts significant ownership and exposure to key commercial decisions.

THE ROLE

• Develop and optimise credit strategies across a growing lending portfolio
• Analyse customer and portfolio performance data to identify opportunities for growth and improved risk outcomes
• Build and monitor forecasting models to assess portfolio performance and profitability
• Drive strategy across areas such as underwriting, credit limits, pricing, and portfolio management
• Generate insights from large datasets and translate findings into actionable recommendations
• Work closely with product, engineering, and analytics teams to implement new strategies
• Monitor the performance of live strategies and recommend enhancements based on results
• Take ownership of analytical projects that directly influence business performance

YOUR SKILLS & EXPERIENCE

• Strong commercial experience within Credit Risk Analytics in consumer lending
• Experience developing or managing credit strategies, including areas such as acquisitions, underwriting, credit limits, pricing, or portfolio management
• Strong hands-on coding experience using Python and SQL on a regular basis
• Experience using data to solve business problems and influence commercial decisions
• Strong understanding of credit risk strategy and portfolio performance within unsecured lending
• Ability to independently identify opportunities, challenge assumptions, and drive improvements
• Experience working cross-functionally to deliver analytical solutions into production
• Strong communication skills with the ability to present insights and recommendations to a range of stakeholders

WHAT THEY OFFER

• £55,000 – £70,000 base salary depending on experience
• Hybrid working model
• Opportunity to work within a market-leading fintech
• Exposure to advanced analytics, machine learning, and alternative data sources
• Significant ownership and autonomy from day one
• Clear progression opportunities within a growing Credit Risk function
• Collaborative and intellectually stimulating environment focused on innovation and impact

HOW TO APPLY

Please register your interest by sending your CV through the Apply link.

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SENIOR CREDIT STRATEGY ANALYST

LONDON | £60,000 – £75,000 + BONUS

This is an exciting opportunity to join an innovative fintech that is redefining how consumer lending operates through data, technology, and customer-centric decision-making. You’ll play a key role in shaping credit strategy, influencing lending decisions, and driving business growth within a highly analytical and fast-moving environment.

THE COMPANY

They are a market-leading fintech that leverages advanced analytics, modern technology, and rich customer data to deliver smarter financial products. Innovation sits at the heart of their business, with data-driven decision-making embedded across every function. Their collaborative culture brings together experts across analytics, product, engineering, and data science to solve complex commercial challenges and deliver exceptional customer outcomes. As they continue to grow, they are investing heavily in their credit risk and strategy capabilities.

THE ROLE

• Optimise credit strategies and decisioning frameworks across lending products
• Develop and implement credit policy enhancements to improve portfolio performance
• Analyse portfolio trends and identify opportunities to drive growth and improve risk outcomes
• Build forecasting, pricing, and profitability models to support strategic decision-making
• Apply advanced analytical techniques to understand customer behaviour and lending performance
• Explore innovative data sources, including open banking data, to strengthen credit risk strategies
• Partner with product, engineering, data science, finance, and fraud teams on key business initiatives
• Present insights and recommendations to senior stakeholders
• Lead analytical projects that deliver measurable commercial impact

YOUR SKILLS & EXPERIENCE

• Strong commercial experience within credit risk analytics in a consumer lending environment
• Strong SQL and/or Python skills with experience analysing large and complex datasets
• Experience developing, implementing, or optimising credit risk strategies and policies
• Excellent analytical and problem-solving skills
• Experience translating complex analysis into clear commercial recommendations
• Strong stakeholder management and communication skills
• Ability to work effectively within cross-functional teams
• Passion for using data to drive innovation and business performance

WHAT THEY OFFER

• £60,000 – £75,000 base salary depending on experience
• Annual bonus scheme
• Exposure to cutting-edge analytics tools, data, and technology
• Significant ownership of high-impact projects
• Opportunity to work within one of the UK’s most innovative fintech environments
• Clear career progression within a growing credit risk and analytics function
• Collaborative culture focused on learning, development, and knowledge sharing

HOW TO APPLY

Please register your interest by sending your CV through the Apply link.

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Senior AWS Cloud Engineer

£65,000 – £75,000

Oxfordshire (1 day a week)

This is an opportunity to become the AWS subject matter expert within a growing cloud function at a business investing heavily in cloud, data, and AI-driven transformation. You’ll play a key role in shaping a greenfield AWS capability while remaining hands-on across architecture, platform engineering, automation, and cloud operations.

THE COMPANY

They are a technology and consulting organisation delivering complex cloud, digital, and data transformation programmes for a diverse client base. With an established Azure estate and ambitious plans to expand their AWS footprint, they are investing in the foundations required to support future growth across cloud, data platforms, and AI workloads. Their engineering culture is collaborative, supportive, and ownership-driven. Engineers are encouraged to influence technical direction, contribute ideas, and work closely with stakeholders across the business.

THE ROLE

As a Senior AWS Cloud Engineer, you will lead the development of the organisation’s AWS capability while helping support and evolve an existing Azure environment.

Specifically, you can expect to be involved in the following:

• Designing and building secure, scalable AWS cloud infrastructure
• Establishing AWS Landing Zones, governance frameworks, and engineering standards
• Acting as the AWS SME across the business
• Owning architecture decisions and producing technical design documentation
• Building and maintaining Infrastructure as Code solutions using Terraform
• Developing CI/CD pipelines using GitHub Actions and Azure DevOps
• Driving automation through scripting and cloud-native tooling
• Supporting cloud networking, security, and platform operations
• Collaborating with both technical and non-technical stakeholders
• Mentoring junior engineers and promoting cloud engineering best practice
• Helping shape the transition towards a multi-cloud strategy

SKILLS AND EXPERIENCE

The successful Senior AWS Cloud Engineer will have the following skills and experience:

• AWS cloud engineering and architecture
• Terraform and Infrastructure as Code
• AWS networking, security, and governance
• CI/CD pipeline development
• Python, PowerShell, AWS CLI, or Azure CLI
• Cloud automation and platform engineering
• Producing technical designs and architecture documentation
• Engaging confidently with stakeholders at all levels
• Relevant AWS certifications, particularly AWS Solutions Architect or AWS Security specialisations, would be highly advantageous.

BENEFITS

The successful Senior AWS Cloud Engineer will receive the following benefits:

• Salary between £65,000 – £75,000 – depending on experience

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

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AI Product Manager

San Francisco Bay Area (Hybrid, 2-3 days onsite) | Up to $220,000 Base + Bonus

This is an opportunity to join a business that is already delivering AI in production, not just discussing its future potential. You’ll take ownership of AI-driven transformation initiatives from discovery through to adoption, helping redesign critical business processes and seeing tangible commercial impact from your work.

The Company

This growing fintech organisation is transforming the way businesses access financial products through AI-powered decision-making. With a strong data foundation and significant investment in AI, they have already deployed production-grade AI solutions across core workflows and are now expanding their AI-first approach across multiple business functions.

Working within a dedicated AI product team, you’ll partner closely with domain experts, data scientists, and engineering partners to identify opportunities for meaningful process transformation. The environment is fast-paced, highly collaborative, and focused on delivering measurable business outcomes.

The Role

As an AI Product Manager, you will:

• Lead discovery sessions with subject matter experts to understand existing workflows, pain points, edge cases, and operational metrics.
• Redesign business processes from the ground up using modern AI tools and capabilities.
• Create detailed product requirements, design briefs, and specifications for engineering partners.
• Manage third-party engineering teams throughout the build process, ensuring delivery aligns with product vision and requirements.
• Define evaluation frameworks, quality control processes, and acceptance criteria for AI solutions.
• Partner with data scientists to develop evaluation rubrics, testing frameworks, and performance benchmarks.
• Oversee pilot programmes, shadow runs, and go-live activities.
• Drive stakeholder engagement and end-user adoption across the organisation.
• Track business impact and continuously refine solutions based on performance data.

Your Skills & Experience

You will have:

• Strong commercial experience in product management, product strategy, product operations, or a closely related discipline.
• Experience delivering AI-enabled products or business process transformation initiatives.
• A proven ability to take ambiguous problems and structure them into clear solutions and deliverables.
• Experience conducting discovery with stakeholders and translating findings into actionable product requirements.
• Confidence authoring design briefs, requirements documents, specifications, or process maps that development teams can build from.
• Working knowledge of AI products, LLMs, AI agents, evaluation frameworks, and quality assurance concepts.
• Excellent stakeholder management skills, with the ability to build trust across technical and non-technical audiences.
• Experience working with external technology vendors or engineering partners is advantageous.
• Experience within fintech, payments, lending, or other high-growth technology environments is beneficial but not essential.

What They Offer

• Exposure to large-scale AI transformation projects with direct business impact.
• Close collaboration with experienced AI leaders, data scientists, and product specialists.
• Clear progression opportunities as the AI function continues to expand.
• The chance to develop deep expertise in AI product management within a commercially successful organisation.

How to Apply

To learn more about this AI Product Manager opportunity, please apply with your CV and we’ll be in touch to discuss the role in further detail.

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Senior Product Analyst

London (Hybrid, 1/2 days per week) | £70,000 – £75,000

Looking to work with millions of users, large-scale behavioural data, and cutting-edge digital products? This is an opportunity to join a growing analytics function within a leading global digital media and technology business, helping shape how audiences engage with content and products at scale.

The Company

They are an international digital business operating across content, technology and consumer platforms, reaching millions of users globally. With a strong focus on product innovation and audience engagement, they are investing heavily in understanding user behaviour and improving digital experiences. You’ll join a small, high-impact analytics team working closely with Product, Technology and Data stakeholders.

The Role

As a Senior Product Analyst, you’ll combine deep analytical expertise with strong SQL skills to uncover insights from large-scale user and behavioural datasets.

Responsibilities include:

• Analysing customer, audience and digital engagement data at scale
• Writing complex SQL queries across high-volume datasets#
• A/B testing and measuring the impact of new features
• Understanding user journeys, product engagement and audience behaviour
• Identifying key user cohorts and engagement drivers
• Supporting event tracking, measurement and experimentation frameworks
• Delivering insights that influence product and business decisions
• Using digital analytics tools to understand user interactions across platforms

Your Skills & Experience

• Strong commercial SQL experience working with large datasets
• Background in product, customer, audience, digital or web analytics
• Experience analysing user behaviour and engagement patterns
• Strong problem-solving and stakeholder management skills
• Experience working within digital, consumer, subscription, media, technology, e-commerce or similar environments
• Exposure to experimentation, testing or product analytics initiatives
• Experience with cloud data platforms such as BigQuery, Snowflake, Databricks, Redshift or similar
• GA4, Looker, Python or product analytics tool experience is advantageous

What They Offer

• £70,000 – £75,000 salary
• Hybrid working model with flexibility
• Opportunity to work with millions of users and large-scale event data
• Clear pathway towards Product Analytics
• Exposure to experimentation, identity resolution and audience growth initiatives
• High visibility role within a growing analytics team
• Collaborative, international and technology-driven environment

How to Apply

If you’re a data analyst with strong SQL skills and a passion for understanding digital user behaviour, apply today to learn more about this exciting Senior Product Analyst opportunity in London.

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Marketing & Customer Analyst

London or Leeds (Hybrid, 2 days per week) | Up to £45,000

Looking to move beyond reporting into a more consultative analytics role? This is an opportunity to work across customer analytics, CRM, marketing effectiveness and data strategy projects, helping well-known consumer brands turn data into commercial action.

The Company
This specialist analytics consultancy supports a range of leading brands with customer, marketing and data-driven decision making. They combine analytics, strategy and insight to solve commercial challenges across customer acquisition, retention and loyalty. With a collaborative, small-team environment, you’ll gain broad exposure and real responsibility from day one.

The Role

• Analyse customer, CRM and marketing data to generate actionable insights
• Build and develop Power BI dashboards and reporting solutions
• Use Python, Excel and analytics tools to interrogate and transform data
• Deliver customer segmentation, behavioural analysis and data quality projects
• Support retention, loyalty and customer value initiatives
• Create client-ready presentations and communicate recommendations clearly
• Work closely with strategists to influence business decisions

Your Skills & Experience

• Strong commercial experience in analytics, customer insight or marketing analytics
• Experience within an agency, consultancy or client-facing analytics environment
• Strong Python and Excel skills
• Dashboard development experience, ideally using Power BI
• Ability to translate analysis into clear commercial recommendations
• Excellent communication and stakeholder engagement skills
• Strong academic background in a quantitative discipline

What They Offer

• Salary up to £45,000
• Hybrid working with offices in London and Leeds
• Exposure to major consumer brands and varied project work
• Opportunity to develop consulting, strategy and client-facing skills
• Direct access to senior leaders and experienced analytics professionals
• Clear scope for progression within a growing team

How to Apply
Apply today to learn more about this Marketing & Customer Analyst opportunity.

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AI Product Manager

San Francisco

$200-250k base + bonus (No equity)

We’re partnering with a fast-growing financial services business that is using AI to fundamentally rethink how core business processes operate.

The company already has production AI agents live across credit and underwriting workflows and is now expanding that approach across Sales, Customer Lifecycle, Finance, and Capital Markets.

This is not a traditional product management role focused on feature backlogs and incremental improvements. The remit is to work directly with business teams, understand how processes operate today, and redesign them from the ground up using AI.

The Opportunity

You’ll work directly on a core AI initiative, owning projects from discovery through launch.

You’ll partner with business teams to understand their processes, identify where AI can help, and turn those needs into clear product requirements.

You’ll then work closely with engineering teams to bring those solutions into production.

It’s a high ownership role with strong exposure to senior stakeholders and a great opportunity to build deeper AI product experience.

What You’ll Be Doing

• Lead discovery sessions with business teams to understand existing workflows, pain points, exceptions, and opportunities for AI
• Translate complex business problems into clear AI product designs and technical briefs
• Reimagine workflows from first principles rather than simply automating existing processes
• Define product requirements, acceptance criteria, quality controls, and evaluation frameworks
• Manage specialist engineering partners through the build and delivery process
• Partner with Data Science and Engineering teams to define evaluation metrics, golden datasets, and production readiness standards
• Coordinate testing, shadow runs, and go live activity for new AI products
• Work closely with end users to drive adoption and ensure products solve genuine operational problems
• Measure post launch impact against defined baselines and identify opportunities for continued iteration

What We’re Looking For

• 3 to 5 years of experience across Product Management, Product Analysis, or a similar product focused role
• Hands on exposure to AI enabled products, LLM applications, or AI agents
• Strong experience running discovery with business stakeholders and turning ambiguous problems into structured solutions
• Ability to create clear product artefacts including process maps, requirements, design briefs, and specifications
• Comfortable working with engineers and challenging technical solutions when they do not align with the product intent
• Strong written communication and structured problem solving skills
• Comfortable operating independently in ambiguous, fast moving environments

Ideally You’ll Also Have

• Experience within an AI native, fintech, lending, or high growth technology environment
• Exposure to AI agents, LLM powered products, or workflow automation
• Experience managing external engineering partners or vendors
• Strong instincts around when AI genuinely adds value versus when a simpler solution is more appropriate
• Experience taking AI products from discovery through production and adoption

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Analytics Engineer

US Remote (EST/CST preference)

$110-130k base

We’re partnering with a global travel management organization that is making a significant investment in its data and analytics capabilities and is looking for an Analytics Engineer to help build and scale its next generation analytics platform.

The role sits across data engineering, analytics, and product, turning complex data into trusted, scalable analytics products used by teams internally and by customers around the world.

What You’ll Be Doing

• Build and maintain analytical data models that support reporting, dashboards, and customer facing data products
• Transform raw data into clean, reliable, and reusable datasets
• Develop semantic models and consistent business metrics across the organization
• Build dashboards, visualizations, and embedded analytics experiences
• Partner with business, product, IT, and engineering teams to understand requirements and deliver scalable data solutions
• Improve the performance, reliability, and usability of analytics products
• Support data quality, governance, documentation, and compliance
• Help establish best practices around testing, version control, and analytics engineering workflows

What We’re Looking For

• Strong SQL skills and experience working with large, complex datasets
• Hands on experience with dbt, including building, testing, documenting, and maintaining transformation models
• Experience building analytical and semantic data models
• Strong understanding of the full data lifecycle, from pipelines and warehousing through to reporting and analytics
• Experience with cloud data platforms such as Snowflake, Databricks, BigQuery, or Azure Data Lake
• Experience with BI platforms such as Looker, Tableau, or Power BI
• Experience with Python, Scala, R, or another language used in data and analytics engineering
• Understanding of data quality, query performance, testing, and optimization
• Strong communication skills and the ability to work with both technical and non technical stakeholders

Nice to Have

• Experience building embedded analytics or customer facing data products
• Exposure to React, Vue.js, or other frontend technologies
• Experience with APIs and application integrations
• Experience with data governance, security, or compliance frameworks
• Experience working across AWS, Azure, or GCP

This is a great opportunity for someone who enjoys combining strong technical analytics skills with an engineering mindset and wants to help shape a modern, scalable analytics platform.

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Senior Data Architect

Los Angeles, CA

$220-260k base + bonus

We’re partnering with a large investment organization that is continuing to build out its enterprise data capabilities and is looking for a Senior Data Architect to help shape the next generation of its data platform.

This is a senior individual contributor role focused on enterprise data architecture, Databricks, data modeling, governance, and security. You’ll work closely with business and technical teams to design scalable data structures and standards that support analytics, operations, reporting, and AI use cases.

What You’ll Be Doing

• Design conceptual, logical, and physical data models across enterprise data platforms
• Build dimensional models using Kimball, 3NF, Data Vault, and related approaches
• Help define Databricks Lakehouse architecture, including medallion patterns and Delta Lake design
• Establish Unity Catalog standards for governance, lineage, access control, and data organization
• Partner with Data Engineering teams on pipelines, schema design, transformation logic, and performance
• Build data architecture standards, naming conventions, metadata frameworks, and data quality controls
• Work closely with business teams across Finance, Accounting, Investor Relations, and Investments to translate requirements into technical solutions
• Support security and privacy controls across sensitive enterprise data
• Help define how Databricks, Snowflake, MongoDB, and other platforms should be used across different workloads
• Support downstream ML, GenAI, and RAG use cases through well designed data foundations

What We’re Looking For

• Strong enterprise Data Architecture or Data Modeling experience
• Deep hands on experience with Databricks and Delta Lake
• Strong knowledge of dimensional modeling, Kimball, star schema, 3NF, and Data Vault
• Experience designing medallion architecture in Databricks
• Strong Unity Catalog experience across governance, lineage, and access controls
• Strong SQL skills and familiarity with enterprise data modeling tools
• Experience with Azure data platforms
• Strong understanding of data governance, security, privacy, metadata, and data quality
• Ability to work directly with senior business stakeholders and translate complex requirements into scalable architecture
• Comfortable operating independently in environments where standards and frameworks are still being built

Nice to Have

• Experience within financial services, private equity, asset management, or alternative investments
• Knowledge of investment data including funds, investors, NAV, capital calls, and distributions
• Experience building architecture standards from scratch
• Exposure to Snowflake, MongoDB, Kafka, CDC, and Azure Event Hubs
• Experience supporting AI, ML, or GenAI workloads
• Databricks, Azure, or TOGAF certifications

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Product Marketing Manager – Mobile Gaming

Location: Miami, FL (Hybrid)

Salary: $140,000-170,000

Job type: Full-time, Permanent

We’re partnering with a leading mobile game studio in Miami, part of a major international gaming group, to hire a Product Marketing Manager for its flagship title.

This is a rare opportunity to own the full player journey for one of the most recognizable games in its genre, from first ad impression to long-term retention, and turn new content launches into viral cultural moments.

Why This Role?

You’ll be the bridge between the development team and millions of players, owning full-funnel marketing strategy for a chart-topping mobile game. You’ll shape how new features and content packs go to market, drive aggressive organic growth, and lead expansion into new international markets, with real budget ownership and cross-functional influence from day one.

What You’ll Be Doing

• Define target audiences using player data, user research, and community insight, and dig into what’s driving unexpected player trends
• Shape product positioning and brand narratives that turn content updates into must-play moments, backed by competitive analysis and market research
• Design and execute full-funnel go-to-market (GTM) plans that integrate product features with user acquisition (UA), owning budgets and success metrics along the way
• Lead user acquisition and retention campaigns across paid, organic, PR, social, and non-traditional channels, including live events, influencer partnerships, and referral programs
• Build co-marketing and collaboration strategies with influencers, IPs, and consumer brands, coordinating cross-functional teams across product, paid UA, data science, and creative
• Partner with ASO and creative teams to optimize the App Store funnel, listings, and featured placements
• Own CRM and lifecycle marketing strategy to keep every player segment engaged
• Measure marketing impact through incrementality analysis, brand lift studies, and marketing mix modeling (MMM), using the data to optimize spend

What You’ll Bring

• 5+ years of product marketing experience in gaming or entertainment (mobile gaming strongly preferred)
• Bachelor’s degree or MBA in Marketing or a related field
• A proven track record of product marketing strategies and activations that delivered measurable growth
• Fluency in mobile gaming metrics (LTV, retention curves, ROAS, CPI) and the ability to turn analytics into action
• Strong cross-functional leadership: you can align developers, data scientists, and creatives around one goal
• A genuine passion for games and a sharp read on industry trends and the psychology of player engagement

To Apply for this Job Click Here

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Staff Data Scientist, Finance – Consumption Forecasting

Location: San Francisco or New York | Hybrid (3 days per week in office)

Salary: $240-300k base + bonus + equity (RSUs)

This is a rare chance to own forecasting infrastructure at the center of a high-growth, consumption-based developer platform, one that powers some of the world’s most dynamic applications and scales with every developer and enterprise building on it.

As a consumption-based business, forecasting usage across compute, bandwidth, edge, and storage isn’t a support function. It’s foundational to how we plan infrastructure, revenue, and long-term strategy. This role exists to lead that work at the highest level.

What you’ll own

This is a senior individual contributor role with organization-wide impact. You’ll define forecasting methodology, build systems that scale with a rapidly growing platform, and sit at the intersection of Finance, Infrastructure, Product, and GTM with direct visibility to executive leadership.

• Own production revenue forecasting end-to-end: model development, backtesting, deployment, monitoring, and iteration from first principles to live system
• Build forecasting systems that account for usage-based pricing dynamics, consumption patterns, and customer lifecycle across the platform, built for how this business actually works, not retrofitted SaaS models
• Design hierarchical forecasting models across account, cohort, segment, and global aggregate levels, covering operational, quarterly, and long-range planning cycles
• Establish backtesting, monitoring, and explainability standards that make forecast accuracy transparent and defensible
• Build scenario simulation frameworks to evaluate pricing changes, packaging adjustments, and product launches
• Partner with Finance on board-level reporting, with Infrastructure Engineering on capacity planning, and with Product and GTM on adoption curves and usage drivers
• Set forecasting best practices across the broader Data organization

What we’re looking for

• 7+ years in data science, quantitative analytics, or applied statistics at senior or staff level
• Deep expertise in time-series forecasting and statistical modelling in a usage-based or SaaS environment
• Proven track record building and productionizing ML systems at scale
• Strong Python and SQL, with experience on large-scale usage and billing datasets
• Familiarity with probabilistic modelling, hierarchical forecasting, and causal inference
• Experience partnering with Finance or executive leadership on planning cycles
• Comfortable operating autonomously in fast-moving, ambiguous environments

Nice to have

• Background in cloud infrastructure, developer tools, or consumption-based revenue models
• Familiarity with modern data stacks: Snowflake, Delta Lake, dbt, Airflow
• Prior technical mentorship or informal leadership experience

To Apply for this Job Click Here

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Senior Data Engineer

San Francisco, CA

$180-240K base + equity

We’re partnered with one of the most recognized developer platforms in the world, trusted by engineering teams at OpenAI, Meta, Netflix, and Adobe, who are scaling their data platform and looking to hire a Senior Data Engineer to own the pipelines and foundations at the core of their data ecosystem.

You’ll own the full pipeline lifecycle, from ingestion architecture through to analytics-ready data, working closely with Data Platform Engineers and partnering with analysts and data scientists who depend on what you build every day.

What you’ll do

• Design and build scalable ingestion pipelines and orchestration frameworks across structured, semi-structured, and event-based sources
• Own reliability, observability, and performance across the full pipeline lifecycle from raw ingestion to analytics-ready delivery
• Build and maintain dbt transformation pipelines serving as the single source of truth across Finance, Product, GTM, and Engineering
• Ensure revenue and billing data meets the accuracy and auditability required for public company reporting, including SOX compliance
• Apply software engineering principles throughout: CI/CD, testing, observability, version control, and automation
• Enable self-serve analytics through semantic layer development, strong abstractions, and clear documentation
• Champion data quality and governance across classification, ownership, access policies, and data lifecycle management

What we’re looking for

• 5+ years in data engineering or a hybrid data/analytics engineering role, with a track record of owning pipelines end-to-end in high-growth or enterprise environments
• Advanced SQL and dbt (Core or Cloud), Snowflake or comparable cloud data warehouse, Python, and Airflow
• Experience with Kafka and streaming data systems, with working knowledge of ClickHouse, Iceberg, or similar technologies
• Experience with ingestion tools such as Fivetran, Airbyte, or Polytomic
• Cloud-native architecture experience across AWS, GCP, or Azure
• Exposure to designing data systems that meet compliance and governance requirements, including SOX or equivalent
• Strong communication and collaboration skills, with the ability to contribute as a technical voice across engineering and business stakeholders

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