financial services DATA RECRUITMENT

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Senior Product Engineer

£115,000 to £140,000 + Equity

Liverpool St., London

This is a rare opportunity to join a well-funded early-stage AI business as one of the first senior engineering hires. You will play a pivotal role in shaping a greenfield AI product, owning technical decisions, influencing the roadmap, and helping build an enterprise-grade platform used by leading organisations.

THE COMPANY

They are an AI startup developing advanced behavioural intelligence technology for enterprise customers. Their platform helps organisations better understand customer behaviours, preferences, and decision-making patterns to improve communications, customer engagement, and product experiences.

Having secured significant early-stage funding, they are now working with major enterprise clients and are focused on scaling their product from proof of concept into wider commercial deployment. With a small, highly experienced team, they offer the opportunity to make a meaningful impact from day one.

THE ROLE

As a Senior Product Engineer, you will take ownership of product development alongside senior leadership, helping transform innovative AI capabilities into a scalable commercial platform.

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

• Building and scaling a production-grade AI product from the ground up
• Designing and developing APIs and backend services that power enterprise customer integrations
• Owning the LLM application layer, including retrieval-augmented generation (RAG) workflows
• Improving model performance, reliability, evaluation frameworks, monitoring, and cost optimisation
• Working across the stack to deliver customer-facing features and platform capabilities
• Collaborating with stakeholders to translate customer feedback into product improvements
• Establishing engineering best practices across architecture, testing, deployment, and delivery
• Contributing to technical strategy and product roadmap decisions

SKILLS AND EXPERIENCE

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

• Strong commercial experience as a Product Software Engineer or Software Engineer
• Experience building and scaling an LLM-enabled product from concept through to production
• Strong backend engineering expertise, ideally within API-first products
• Experience with Node.js and TypeScript, or a proven ability to transition successfully between technology stacks
• Understanding of RAG architectures, evaluation frameworks, guardrails, monitoring, and model optimisation
• Experience managing token usage, infrastructure costs, and scalability challenges in AI products
• Comfortable working autonomously in a startup or high-growth environment
• Strong product mindset with the ability to make technical and commercial decisions
• Excellent communication and stakeholder management skills
• React experience is beneficial but not essential
• Experience within Financial Services or other regulated industries would be advantageous

BENEFITS

The successful Senior Product Engineer will receive the following benefits:

• Salary between £115,000 – £140,000 – depending on experience
• Equity

HOW TO APPLY

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

To Apply for this Job Click Here

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Lead AI Engineer

£95,000 – £115,000

King’s Cross, London (1-2 days a week in office)

This is an opportunity to lead the design, architecture, and delivery of production-grade AI systems that create measurable business impact. You will work on high-value initiatives, building scalable AI solutions that are embedded directly into core business processes rather than standalone prototypes.

THE COMPANY

They are a well-established organisation investing heavily in AI innovation to transform business operations and deliver long-term value. Their focus is on deploying practical, scalable AI solutions that support real workflows and business outcomes. You will join a technology-driven environment where engineering excellence, collaboration, and innovation are highly valued.

THE ROLE

As a Lead AI Engineer, you will

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

• Own the technical direction, architecture, and implementation of AI systems end-to-end.
• Design and build LLM-powered and agent-based solutions from concept through to production.
• Establish engineering standards, reusable patterns, and scalable frameworks across AI initiatives.
• Make key decisions on models, tooling, infrastructure, and system design.
• Ensure AI systems are robust, observable, secure, and production-ready through effective evaluation, monitoring, and guardrails.
• Provide technical leadership and guidance to engineers working on AI projects.

SKILLS AND EXPERIENCE

The successful Lead AI Engineer will have the following skills and experience:

• Strong commercial experience delivering production-grade AI systems from design through deployment.
• Deep expertise in Generative AI, Large Language Models (LLMs), orchestration, prompting, and evaluation.
• Experience building agentic or multi-step AI systems.
• Excellent software engineering fundamentals across APIs, system design, and cloud-based architecture.
• Ability to define technical direction and operate effectively in complex or evolving environments.
• Experience influencing engineering standards and best practices across multiple projects.
• Exposure to AI platforms, reusable frameworks, LLMOps/MLOps, or enterprise AI environments would be beneficial.

BENEFITS

The successful Lead AI Engineer will receive the following benefits:

• Salary between £95,000 – £115,000 – depending on experience

HOW TO APPLY

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

To Apply for this Job Click Here

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Senior AI Engineer

£75,000 – £95,000

King’s Cross, London (1-2 days a week in office)

This is an exciting opportunity for a Senior AI Engineer to play a key role in shaping how AI is embedded across a business. Rather than building standalone proofs of concept, you will develop production-grade AI solutions that directly support core business processes, delivering measurable value at scale.

THE COMPANY

They are a well-established organisation investing heavily in AI and advanced technology. With a focus on innovation, they are building scalable solutions that enhance operational efficiency and customer outcomes. Their environment combines strong engineering practices with the opportunity to work on high-impact AI initiatives. You will join a collaborative team where technical expertise and continuous improvement are highly valued.

THE ROLE

As a Senior AI Engineer, you will design and deliver production-ready AI solutions using LLMs and agentic systems, embedding AI into core business processes to drive measurable impact.

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

• Design and implement end-to-end AI systems that deliver business impact.
• Build and deploy LLM-powered and agent-based solutions from concept through to production.
• Contribute to technical architecture and engineering best practices.
• Develop reusable components, frameworks, and patterns across multiple AI use cases.
• Make informed decisions on models, tooling, infrastructure, and system design.
• Ensure AI solutions are scalable, observable, secure, and production-ready.
• Support evaluation, monitoring, and governance processes for deployed AI systems.
• Provide technical guidance and mentorship to engineers contributing to AI projects.

SKILLS AND EXPERIENCE

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

• Strong commercial experience delivering production-grade AI systems.
• Expertise in generative AI, large language models, prompting, orchestration, and evaluation.
• Experience designing and implementing complex AI solutions across multiple domains.
• Knowledge of agentic AI systems and multi-step workflows.
• Strong software engineering fundamentals, including APIs, system design, and cloud-native architectures.
• Ability to solve problems in evolving and ambiguous environments.
• Experience influencing engineering standards and contributing to technical excellence.
• Exposure to AI platforms, reusable frameworks, LLMOps, or MLOps is advantageous.
• Experience working within enterprise or regulated environments would be beneficial.

BENEFITS

The successful Senior AI Engineer will receive the following benefits:

• Salary between £75,000 – £95,000 – depending on experience

HOW TO APPLY

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

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Risk Engineer

Up to £200,000

London (4 days a week in office)

This is an opportunity to join a leading global investment management organisation at the forefront of risk technology and quantitative investing. You’ll work directly with investment teams, building innovative risk and decision-support platforms that influence portfolio construction, capital allocation, hedging strategies, and investment performance.

THE COMPANY

They are a highly regarded global investment management firm with a strong focus on technology, data, and quantitative research. Operating across multiple asset classes and complex financial markets, they combine advanced analytics with sophisticated engineering to support investment decision-making. Their collaborative culture encourages innovation, ownership, and continuous learning. As they continue to invest in their Risk Technology capability, they are seeking an experienced Senior Risk Engineer to help shape the future of their platform.

THE ROLE

As a Senior Risk Engineer, you will be responsible for designing, building, and enhancing investment-facing risk technology solutions used by Portfolio Managers, Risk Managers, and Quantitative Researchers.

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

• Architecting and developing scalable risk technology platforms and services
• Building cross-asset risk analytics covering sensitivities, scenario analysis, VaR, exposure aggregation, margin, and attribution
• Developing APIs, data pipelines, and interactive tools that deliver actionable investment insights
• Translating complex pricing and risk models into production-grade technology solutions
• Partnering closely with investment teams to solve trading, portfolio, and risk management challenges
• Supporting the firm’s Risk Intelligence strategy through the application of advanced analytics and AI technologies
• Ensuring robust engineering standards through testing, monitoring, data governance, and operational resilience
• Contributing to platform strategy, technical design reviews, and engineering best practice

SKILLS AND EXPERIENCE

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

• Strong commercial experience building production-grade software within financial markets, risk technology, quantitative development, or trading environments
• Advanced programming skills in Python and/or Java, alongside strong SQL capabilities
• Experience developing APIs, distributed systems, event-driven architectures, and large-scale data solutions
• Deep understanding of derivatives, pricing models, risk analytics, Greeks, scenario analysis, and VaR methodologies
• Ability to work closely with both technical and investment stakeholders
• Strong software engineering principles including scalability, maintainability, testing, and operational excellence
• Experience investigating risk model outputs and reconciling data, methodology, and implementation discrepancies
• Excellent communication skills with the ability to explain complex concepts clearly

Desirable experience:

• Machine learning, AI, LLMs, or AI-assisted development
• Cloud platforms, containerisation, CI/CD, streaming technologies, and observability tooling
• Exposure to multiple asset classes including equities, fixed income, credit, commodities, and FX

BENEFITS

The successful Senior Risk Engineer will receive the following benefits:

• Salary up to £200,000 – depending on experience

HOW TO APPLY

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

To Apply for this Job Click Here

To Apply for this Job Click Here

Full Stack Engineer

Up to £85,000

London (2 days a week in office)

This is an exciting opportunity to join a fast-growing technology business that is transforming how people engage with and manage their finances. You’ll work on a modern product, collaborate with highly skilled engineers, and play a key role in delivering innovative software in an AI-first engineering environment.

THE COMPANY

They are a high-growth technology organisation developing innovative digital products that help users make better decisions through data, analytics, and intuitive technology. Operating within a collaborative, cross-functional environment, they combine modern engineering practices with a strong focus on user experience and product excellence. Their teams work closely across technology, data, and operations to deliver scalable solutions and drive continuous innovation.

THE ROLE

As a Full Stack Engineer, you will join a cross-functional engineering squad, taking ownership of key areas of a client-facing web application while contributing across the software development lifecycle.

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

• Building and delivering new features within a modern web application using React, JavaScript, and TypeScript.
• Developing high-quality, scalable, and reusable code with a strong focus on performance and user experience.
• Collaborating with product, engineering, and operational teams to deliver business-critical functionality.
• Contributing to backend development when required, working with microservices and cloud-based technologies.
• Using AI-assisted development tools throughout the engineering lifecycle, including design, implementation, testing, and code review.
• Participating in agile delivery processes, sprint planning, estimation, testing, and releases.
• Helping to improve engineering standards, software quality, scalability, and operational efficiency.

SKILLS AND EXPERIENCE

The successful Full Stack Engineer will have the following skills and experience:

• Strong commercial experience developing front-end applications with JavaScript and TypeScript.
• Excellent knowledge of React and modern state management approaches.
• Practical experience using AI-assisted or agentic coding tools within software development workflows.
• Strong ability to review, test, and improve AI-generated code while maintaining high engineering standards.
• Knowledge of testing frameworks and test-driven development principles.
• Experience working with APIs and modern integration technologies, including GraphQL.
• Familiarity with CI/CD pipelines, cloud environments, and software documentation.
• Experience with Java or Kotlin, Spring Boot, microservices, PostgreSQL, Kafka, Docker, AWS, and Kubernetes would be highly beneficial.
• Strong communication skills and the ability to thrive in a collaborative environment.

BENEFITS

The successful Full Stack Engineer will receive the following benefits:

• Salary up to £85,000 – depending on experience

HOW TO APPLY

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

To Apply for this Job Click Here

To Apply for this Job Click Here

AI Engineer
Amsterdam | €60,000 – €85,000 incl. 8% Holiday Allowance

This is an exciting opportunity for a curious and ambitious AI Engineer to help transform a customer journey through practical AI applications. You’ll work across product, technology, and operations, applying AI to real business challenges while developing your skills in a fast-growing environment.

The Company
They are a technology-led financial services business with a strong focus on innovation, customer experience, and automation. Their mission is to simplify complex customer processes through smart technology and data-driven decision-making. AI is becoming a core part of their product strategy, creating an opportunity to influence how customers and internal teams interact with key services. You will join a collaborative team where learning, experimentation, and ownership are highly valued.

The Role
As an AI Engineer, you will design, develop, and improve AI-powered solutions that enhance both customer and employee experiences.

Key responsibilities include:
* Designing and implementing AI-driven applications, workflows, and product features
* Translating business challenges into practical AI solutions
* Integrating LLMs, APIs, and AI services into existing systems and processes
* Creating evaluation frameworks, test datasets, and quality metrics for AI products
* Monitoring AI performance and identifying opportunities for continuous improvement
* Analysing user feedback, product metrics, and production data to optimise solutions
* Collaborating closely with software engineers, domain experts, and compliance stakeholders
* Supporting software development activities when required across front-end and back-end environments
* Contributing to the long-term AI strategy and product roadmap

Your Skills & Experience
* Strong analytical and problem-solving capabilities
* Fluency in Dutch, both written and spoken
* Ability to quickly learn and understand complex business domains
* Affinity with technology, software development, and AI applications
* Experience in a technical, analytical, product, or business-focused role
* Excellent communication skills and the ability to work with both technical and non-technical stakeholders
* Interest in AI technologies, LLMs, and emerging AI products

Beneficial experience includes:
* Python, TypeScript, or other programming languages
* LLM applications and prompt engineering
* Agentic workflows, RAG, orchestration frameworks, or AI tooling
* API integrations
* Product experimentation, evaluation frameworks, and quality measurement
* Monitoring, analytics, and observability tools
* Experience within financial services environments

What They Offer
* Salary of €60,000 – €85,000 inclusive of holiday allowance
* Permanent full-time position
* Hybrid working environment based in Amsterdam
* Opportunity to work directly on customer-facing AI products
* Strong exposure to AI, product development, and software engineering
* Significant learning and career development opportunities
* Direct collaboration with experienced founders and cross-functional teams

How to Apply
If you’re excited about applying AI to real business problems and want to build impactful products in a collaborative environment, apply today to learn more about this opportunity.

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Director of Data Research

This is an opportunity to lead a data research function at a business that helps investment professionals make data-driven decisions. You will combine strategic leadership with hands-on technical expertise, evaluating new data assets, shaping research initiatives, and building scalable capabilities that influence commercial outcomes.

The Company
They are an innovative data and analytics business providing insights to investment professionals through proprietary research and alternative data. Operating in a high-growth environment, they continuously explore new datasets and methodologies to enhance the quality and value of their products. Their collaborative culture brings together research, data, and technology teams to solve complex business challenges.

The Role

• Lead the data research function and define the strategy for identifying and evaluating new data sources.
• Assess the quality, reliability, and commercial value of datasets to determine whether they are worth purchasing and integrating into products.
• Design and oversee statistical analysis, modelling, and time series research to validate potential data assets.
• Work closely with stakeholders across data, partnerships, and technology teams to develop new research opportunities.
• Drive end-to-end research projects, from hypothesis generation through to evidence-based recommendations.
• Improve data evaluation frameworks, standards, and processes.
• Manage and mentor a small team while fostering technical excellence and continuous improvement.
• Support the adoption of AI and advanced analytical techniques to improve research efficiency and quality.

Your Skills & Experience

• Strong commercial experience in data science, statistics, quantitative research, or a related field.
• Python skills, with experience applying statistical analysis and time series techniques to complex datasets.
• Strong understanding of data quality assessment, feature engineering, and modelling.
• Strong communication skills with the ability to explain technical findings to both technical and non-technical stakeholders.
• Experience evaluating new datasets and translating findings into commercial recommendations.
• Ability to lead research projects from concept through to delivery.
• Experience working with alternative data, financial data, market intelligence, or data products is advantageous.

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Customer Analytics Consultant (Selections) – 12 Month FTC
Up to £50,000 + 17.5% Bonus | Warwickshire | 2 days per month in office

We’re working with a leading financial services business looking for a Customer Analytics Consultant – Selections to join their customer analytics team on a 12-month FTC.

You’ll use SQL and customer data to build campaign selections, evaluate performance and provide insights to improve customer targeting and campaign ROI.

Key skills:

• Strong SQL – essential
• Customer selections, campaign analytics and customer data experience
• Experience working across multiple datasets
• Power BI or other data visualisation experience
• Strong stakeholder management and communication skills
• Ability to translate data into clear business insights
• Regulated industry experience desirable

The role offers:

• £45k-£50k salary
• 17.5% bonus
• 12-month FTC
• 2 days per month in the Warwickshire office
• Exposure to wider customer analytics and data initiatives

Interview process: 1-stage interview following a SQL test.

Interested? Apply now or get in touch for more information.

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To Apply for this Job Click Here

The Opportunity

We’re looking for an entrepreneurial Technical Product Manager to help shape and scale the next generation of AI-powered technology platforms across the firm. This is not a traditional product management role centered around maintaining roadmaps, coordinating large teams, or managing extensive stakeholder processes. Instead, you’ll identify high-value opportunities, formulate hypotheses, work closely with engineers and business leaders, and drive solutions from concept through execution.

You’ll join a lean team currently consisting of Principal and Senior Engineers and work at the intersection of product, data, AI, and business operations. The ideal candidate thrives in ambiguity, enjoys solving difficult problems, and can balance business needs with technical realities.

This role is especially attractive for product leaders who have demonstrated an ability to operate in startup environments, build from scratch, and create meaningful outcomes without significant organizational support.

What You’ll Do

Drive High-Impact Product Initiatives

• Identify and prioritize opportunities across the firm’s AI and technology ecosystem.
• Develop hypothesis-driven approaches to solving complex operational and business challenges.
• Translate business needs into technically viable product solutions.
• Partner closely with engineering leaders to evaluate feasibility and execution paths.

Build AI Platform Capabilities

• Help evolve existing AI prototypes and successful proof-of-concept projects into scalable platforms.
• Lead initiatives focused on AI enablement, agentic workflows, and enterprise productivity.
• Define and measure business impact, adoption, and value realization.
• Drive the maturation of internally developed solutions from experimentation into production-grade offerings.

Operate Across Business and Technology

• Work closely with investment professionals, operating teams, engineers, and business stakeholders.
• Serve as a bridge between technical teams and business decision makers.
• Evaluate how emerging technologies can create leverage across the firm’s platform and portfolio.

Deliver Through Influence

• Operate effectively in a lean environment where outcomes matter more than organizational structure.
• Navigate ambiguity and independently drive initiatives forward.
• Build alignment without relying on formal authority or large teams.

Example Projects

Recent and upcoming initiatives include:

• Scaling a data substrate designed to support an emerging agentic AI ecosystem.
• Consolidating successful AI use cases and prototypes into a unified enablement platform.
• Defining frameworks to measure AI adoption, business impact, and operational value creation.
• Identifying opportunities to modernize workflows and decision-making processes across a private equity environment.

What We’re Looking For

Required Qualifications

• Experience in Product Management, Technical Product Management, Founder/Product Leader roles, or similar positions with significant ownership and execution responsibility.
• Strong understanding of data platforms, data architecture, and how data moves through complex systems.
• Ability to work effectively with engineers and understand technical tradeoffs.
• Familiarity with software development concepts and at least one programming language.
• Demonstrated ability to solve complex business problems in ambiguous environments.
• Entrepreneurial mindset with a history of building, launching, or driving impactful initiatives.
• Strong analytical and hypothesis-driven problem-solving approach.
• Exceptional communication skills and ability to work across diverse stakeholder groups.

Preferred Qualifications

• Experience building, deploying, or scaling AI-enabled products.
• Exposure to generative AI, agentic systems, machine learning, or modern data platforms.
• Startup founder or early-stage startup experience.
• Experience within private equity, venture capital, investment management, management consulting, or technology organizations serving investment firms.
• Understanding of how technology can drive value creation across portfolio companies and investment organizations.

Who Will Thrive Here

You may be a fit if you:

• Have started a company or helped build one from the ground up.
• Are known for stepping into difficult situations and solving important problems.
• Enjoy operating with autonomy and ownership.
• Prefer building solutions over building large organizations.
• Can move comfortably between technical discussions and business conversations.
• Are energized by urgency and high-impact work.
• Want to help define how AI transforms a modern private equity platform.

You may not enjoy this role if you:

• Require highly structured requirements and extensive direction.
• Prefer managing large teams instead of personally driving outcomes.
• Focus primarily on roadmap management rather than problem-solving.

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Director or VP of Product, AI Platform

• Location: Fully remote within the United States with occasional travel to SF.
• Client: Confidential – Private Equity Firm

Overview

Our client is reimagining how a leading private equity firm operates in an AI-native era.

A small, high-caliber engineering team has begun building the firm’s core AI platform. The Director / VP of Product will define what that platform is for: where AI can create disproportionate leverage, which problems are worth solving, and how the firm’s distinct judgment, workflows, and operating model should shape what gets built.

This is a senior, hands-on product leadership role for someone who thrives in ambiguity and creates things that do not yet exist. You will work closely with investment professionals, operating teams, functional leaders, and engineers to turn complex, often competing needs into a clear and evidence-based product direction.

The mandate is enablement, not centralization. This role will help remove friction and increase capability across the firm without creating an AI gatekeeping function. You will not run the engineering team’s process or simply convert requests into tickets. You will own the platform’s value thesis, prioritization logic, and evolving product direction.

Responsibilities

• Develop and maintain a living, ranked set of AI product hypotheses, including expected value, user needs, assumptions, supporting evidence, risks, and the criteria that would validate or disprove each bet.
• Identify where AI can create outsized leverage across investment, deal, portfolio, operating, and internal business workflows, with a focus on differentiated and reusable capabilities rather than incremental point solutions.
• Partner directly with senior stakeholders across the firm to understand how work is actually done, where friction exists, and where technology can materially improve decision-making, speed, quality, consistency, or scale.
• Prototype and pressure-test concepts using modern AI-native tools, such as Claude, Claude Code, Claude Cowork, Claude Design, or equivalent tools, before asking engineering to commit resources.
• Use prototypes, workflow analysis, user feedback, and direct observation to test assumptions quickly, advance strong opportunities, and kill weak or disproven ideas rather than allowing them to accumulate in a backlog.
• Partner closely with a small, high-leverage engineering team to provide product context, shape outcomes, evaluate tradeoffs, and determine when to push on a solution versus when to let engineering lead implementation.
• Challenge generic or off-the-shelf AI solutions when they do not fit the firm’s actual workflows, decision-making patterns, or differentiated judgment.

Requirements

• Significant product leadership experience at the Director, VP, Head of Product, or comparable level in Private Equity or adjacent industries.
• Demonstrated success building products, platforms, internal tools, workflow systems, or new capabilities in ambiguous, early-stage, or otherwise undefined environments.
• Strong product judgment grounded in user behavior, workflow design, adoption, and business value rather than feature volume, delivery process, or system design alone.
• Experience working with senior stakeholders in complex, high-expectation environments with competing priorities and limited tolerance for unnecessary process.
• Ability to identify the underlying need behind a stakeholder request, challenge assumptions constructively, and translate broad needs into a stronger product direction.
• Technical fluency sufficient to collaborate credibly with engineers, evaluate practical tradeoffs, understand modern AI capabilities and limitations, and prototype ideas independently.
• Hands-on familiarity with generative AI tools and AI-assisted prototyping or development workflows, such as Claude, ChatGPT, Cursor, Claude Code, Replit, Figma AI, or similar tools.
• Strong communication, facilitation, and relationship management skills, including the ability to build trust with senior leaders, hold productive conversations amid disagreement, and drive alignment without relying on hierarchy.
• Comfortable operating without a complete specification, formal roadmap, established product organization, or clearly defined playbook.
• A low-ego, high-ownership mindset with the ability to move between strategic direction and hands-on experimentation.

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Data Engineer

Hybrid | Miami, FL or Austin, TX – need to be local – relocation not offered
U.S. Citizens & Green Card Holders Only
Build the Future of Data at a Growing Company

Looking to take the next big step in your data engineering career?

We’re partnering with a rapidly growing organization that is investing heavily in its modern data platform and analytics capabilities. This is an opportunity for a Data Engineer with strong SQL, Python, and dbt skills to join a team that’s building a scalable cloud-based data environment from the ground up.

You’ll work alongside experienced data professionals and implementation partners to develop pipelines, transform data, and help create the foundation that powers reporting, analytics, and future AI initiatives across the business.

This role is perfect for someone who enjoys solving data problems, learning modern technologies, and making a visible impact on a growing organization.

What You’ll Do

• Build and maintain data pipelines using SQL, Python, and modern ELT practices
• Develop and optimize dbt models that support analytics and business reporting
• Integrate data from multiple business systems into a centralized cloud data warehouse
• Improve data quality, reliability, and accessibility across the organization
• Partner closely with analytics and business teams to deliver trusted datasets
• Support the implementation of a new Snowflake environment and modern data platform
• Contribute to data governance, documentation, and best practices as the platform grows

Technologies You’ll Work With

• SQL
• Python
• dbt
• Snowflake
• Fivetran
• Domo
• Modern Cloud Data Warehousing
• ELT / Data Transformation

What We’re Looking For

• Approximately 3+ years of experience in Data Engineering, Analytics Engineering, or a related field
• Strong SQL skills with experience working with large datasets
• Hands-on Python experience for data processing and automation
• Experience building and maintaining dbt models
• Exposure to data warehousing concepts and cloud-based data platforms
• Understanding of ETL/ELT processes and data transformation best practices
• Strong problem-solving skills and desire to learn in a fast-paced environment
• Excellent communication skills and ability to collaborate across technical and business teams

Nice to Have

• Snowflake experience
• Fivetran experience
• Experience supporting BI or analytics teams
• Exposure to data governance or data quality initiatives
• Experience working in a cloud data environment

Why Join?

• Work on a modern data stack centered around SQL, Python, dbt, and Snowflake
• Be part of a major data transformation initiative from the beginning
• Gain exposure to enterprise-scale data engineering projects
• Work directly with experienced leaders and consultants who can accelerate your growth
• High visibility and real ownership of impactful projects

Clear opportunities for career advancement as the data team expands

Logistics

Miami, FL or Austin, TX – local candidates only

Up to $165,000 Base Salary

U.S. Citizen or Green Card Holder required

Target Start: October 2026

Ideal Candidate

A Data Engineer with around 3 years of experience who is confident with SQL, Python, and dbt, eager to grow in a modern cloud environment, and excited by the opportunity to help build something from the ground up rather than maintain legacy systems.

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