The Data And AI Podcast

To Apply for this Job Click Here

Principal Data Engineer (L5) / Staff Data Engineer

Remote – United States
Base Salary: $220,000 – $240,000
Eligibility: U.S. Citizen or Green Card holder required

Overview

A leading digital product and AI engineering firm is seeking a Principal Data Engineer (L5) to join a high-impact, multi-disciplinary team building modern, enterprise-grade data platforms.

This is a senior technical leadership role suited for an experienced engineer who can define data strategy, make end-to-end platform decisions, and influence engineering direction across complex engagements. You will operate at the intersection of data engineering and AI, helping deliver production-ready systems at speed while maintaining high standards in performance, reliability, and security.

Why This Role Matters

You will play a critical role in shaping how AI-powered data systems integrate into real-world enterprise workflows. The team operates at high velocity, delivering production-grade solutions in accelerated timelines, requiring strong ownership, technical craftsmanship, and the ability to execute with precision.

This role provides visibility across platform architecture, client impact, and internal engineering standards-ideal for someone who wants to influence both technical direction and team capability.

Key Responsibilities

Data Architecture & Platform Ownership

• Define and lead data architecture strategy across data lakes, warehouses, and pipelines
• Design scalable, high-performance systems for batch and real-time data processing
• Drive modernization efforts, optimizing for cost, performance, and scalability
• Establish data contracts and event-driven architectures across distributed systems
• Integrate data platforms with APIs, middleware, and third-party systems

AI & Advanced Data Systems

• Design and implement data pipelines supporting production AI/ML systems, including:
  • Embeddings and vector databases
  • Retrieval-Augmented Generation (RAG) data preparation
  • Feature stores and model training/inference pipelines
• Apply an AI-forward approach using modern development tools (e.g., Claude, Cursor)

Governance, Quality & Reliability

• Define and enforce data governance, quality standards, and compliance frameworks
• Implement monitoring, logging, and alerting systems across data pipelines
• Contribute to CI/CD pipelines for data workflows and automated deployment

Leadership & Collaboration

• Partner with leadership to shape data strategy and translate technical complexity into actionable decisions
• Mentor and guide junior and mid-level engineers, elevating team capability
• Establish engineering standards and best practices across data platforms
• Collaborate with engineering, product, analytics, and AI teams to align on execution

Required Qualifications

• 7+ years of experience in data engineering, including leadership of complex data platform initiatives
• 7+ years of hands-on experience with AWS, with recent, production-level usage required
• Strong background in distributed systems and large-scale data architecture
• Expertise in Python, Scala, and SQL
• Deep experience with cloud-native data platforms and enterprise data warehousing
• Strong knowledge of data pipeline orchestration and transformation frameworks
• Experience with streaming and real-time systems (Kafka, Kinesis, Pub/Sub, etc.)
• Proven expertise in data modeling and scalable data design
• Hands-on experience with governance, compliance, and data quality frameworks
• Experience with containerization and CI/CD for data systems
• Demonstrated experience building pipelines for AI/ML production systems
• Strong communication skills with the ability to influence cross-functional stakeholders
• Track record of mentoring engineers and leading technical decisions

Preferred / Nice-to-Have

• Experience with data mesh, data fabric, or lakehouse architectures
• Background in healthcare data systems
• AWS certifications (e.g., AWS Certified Data Engineer – Associate)

Interview Process

• 30-minute Culture Interview
• 30-45 minute Technical Interview
• Final Client Interview

To Apply for this Job Click Here

To Apply for this Job Click Here

Lead Data Scientist

London – hybrid (1 day every 2 weeks)

The Company
They are a London-based technology organisation operating in the digital advertising and media space. Established in recent years, they have grown to around 50 employees and are continuing to scale their product and data capabilities. Their SaaS platform integrates with major advertising ecosystems and combines advanced machine learning with external datasets to optimise campaign outcomes. The business offers a collaborative, product-focused environment with strong technical ownership.

The Role

• Lead development of optimisation and predictive models for digital advertising campaigns
• Build and refine bidding algorithms within auction-based environments
• Take models from Python prototypes into production systems in AWS
• Work closely with engineering teams to deploy and scale solutions
• Utilise large-scale datasets from ad platforms and external sources
• Act as the go-to expert for improving and troubleshooting models
• Contribute to the ongoing evolution of data science capability across the platform

Your Skills and Experience

• Strong commercial experience building and deploying machine learning models
• Experience working on optimisation problems or performance-driven systems
• Understanding of auction-based modelling, pricing, or similar complex environments
• Proficiency in Python and exposure to production-level programming
• Familiarity with languages such as Kotlin, Java or Scala
• Experience working with large datasets, with exposure to tools such as PySpark beneficial
• Interest in working across both data science and production environments

What They Offer

• Flexible hybrid working with minimal office requirements in London
• Technical ownership in a senior individual contributor role
• Opportunity to work closely with engineering and influence product direction
• Collaborative environment with strong growth potential

How to Apply
If you would like to find out more, please apply with your CV or get in touch for an initial discussion.

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Analyst / Senior Data Analyst, Marketing Analytics
Southwark, London. £40,000 – £60,000 + benefits. Hybrid working, 3 days in office.
This is an excellent opportunity to join a growing marketing analytics function within a leading customer-focused organisation. You will work across a variety of clients and projects, combining customer insight with commercial impact, while developing a well-rounded skillset in a collaborative, fast-paced environment.
The Company
They are an established customer experience and marketing analytics organisation that partners with well-known brands to improve how they engage with their customers. Data sits at the core of their offering, with a strong focus on analytics, data science, and measurement. The business operates within a wider network, providing exposure to large-scale marketing activity and cross-functional collaboration. They offer a flexible structure that supports internal mobility and career development across different client accounts.
The Role
You will:

• Deliver analytics across campaign performance, marketing effectiveness, and customer journeys
• Analyse customer behaviour to generate actionable insights that balance experience and commercial outcomes
• Build, maintain, and improve dashboards and reports using modern visualisation tools
• Work with analytics platforms to answer client questions and provide insight-driven recommendations
• Collaborate with technical, data, and strategy teams to ensure accurate data capture and tracking
• Support and contribute to end-to-end project delivery in an agile environment

At senior level, you will also:

• Take ownership of project delivery and outputs
• Support the direction of analytics strategy across accounts
• Work closely with stakeholders and build strong client relationships
• Guide and mentor junior analysts

Your Skills & Experience
You will have:

• Strong commercial experience with SQL and or Python
• Hands-on experience using analytics tools such as GA4, Adobe Analytics, or similar
• Experience delivering data visualisation and communicating insights clearly
• Strong understanding of marketing analytics, including campaign performance and customer journey analysis
• Ability to translate data into business value and actionable recommendations
• Experience working in a fast-paced, client-focused or agency environment

For more senior roles:

• Confident stakeholder management and client-facing experience
• Ability to support or mentor other analysts
• Experience contributing to strategic analytics initiatives

What They Offer

• Competitive salary of £40,000 – £60,000 depending on experience
• Hybrid working with a central London office
• Clear progression opportunities with structured mobility across teams
• Exposure to a wide range of clients and marketing challenges
• A collaborative and supportive team environment focused on continuous learning

How to Apply
Apply now with your CV to be considered for this opportunity.

To Apply for this Job Click Here

To Apply for this Job Click Here

AI Automation Engineer
REMOTE | $150,000 – $200,000 + benefits

This is an opportunity to join a fast-growing, product-led organisation building AI-driven solutions to transform operational workflows at scale. You will play a key role in shaping how automation and AI are embedded across complex business processes, delivering measurable impact and driving efficiency across the organisation.

The Company
They are an innovative, technology-focused organisation operating at the intersection of software, automation, and operational services. With a strong emphasis on building scalable, AI-native platforms, they are focused on reducing manual workload and improving outcomes through intelligent systems. The business is growing rapidly and offers a collaborative, high-impact environment where engineers work closely with non-technical stakeholders to drive change.

The Role

• Identify high-impact automation opportunities by partnering directly with operational teams
• Design and build scalable backend services and workflow automations
• Develop AI-powered tools that streamline complex processes and decision-making
• Redesign existing workflows to improve efficiency rather than simply automating legacy processes
• Translate real-world business logic, including exceptions and edge cases, into robust systems
• Continuously iterate based on user feedback and performance metrics
• Contribute to defining best practices for AI-led automation across the business

Your Skills & Experience

• Strong commercial experience in backend, full-stack, or platform engineering
• Proven ability to design and implement workflow automation solutions in complex environments
• Experience working closely with non-technical stakeholders to uncover requirements
• Strong understanding of AI-driven development tools and automation frameworks
• Proficiency in modern programming languages such as TypeScript and working with relational databases
• Demonstrated ability to operate in fast-paced, ambiguous environments with high autonomy
• Strong product mindset with a focus on delivering measurable business impact

What They Offer

• Competitive salary of $150,000 – $200,000
• Comprehensive benefits package
• Opportunity to work on cutting-edge AI and automation challenges
• Clear progression in a rapidly scaling organisation
• Collaborative, high-ownership culture with exposure to senior stakeholders

How to Apply
If you are interested in applying for this AI Automation Engineer role, please submit your CV to be considered.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Analyst, Marketing Analytics
Southwark, London. Hybrid (3 days in office). Salary: Competitive
This is an opportunity to join a high-performing marketing analytics function where you will work across a range of well-known brands, delivering insight that directly influences customer experience and commercial outcomes. The role offers strong variety, exposure to senior stakeholders, and the chance to shape how data is used across marketing and digital activity.
The Company
They are a global customer experience and marketing analytics consultancy, helping businesses better understand and engage their customers through data. Working across a diverse portfolio of clients, they combine analytics, data science, and technology to drive measurable impact. Their environment is collaborative and fast-paced, with a strong emphasis on professional development and internal mobility. Analysts are encouraged to build broad skill sets and gain exposure across different accounts over time.
The Role
You will sit within a specialist analytics team, delivering insight across marketing performance, customer journeys, and digital channels. As a Senior Data Analyst, you will take ownership of projects and play a key role in translating data into actionable recommendations.
Responsibilities include:

• Delivering post-campaign analysis and marketing performance reporting
• Analysing end-to-end customer journeys to identify optimisation opportunities
• Using tools such as GA4 and other digital analytics platforms to generate insight
• Building and maintaining dashboards to support client reporting
• Collaborating with data, tech, and strategy teams to improve data capture and tracking
• Presenting insights and recommendations to stakeholders and clients
• Supporting junior analysts and contributing to team development
• Contributing to strategic analytics planning and driving growth across accounts

Your Skills and Experience

• Strong commercial experience in marketing analytics or customer insights within an agency or consultancy environment
• Hands-on experience with Python or SQL
• Experience using digital analytics tools such as GA4, Adobe Analytics or similar
• Data visualisation experience using tools such as Power BI, Tableau or Looker
• Understanding of campaign performance measurement and customer journey analysis
• Ability to translate data into clear insights and business recommendations
• Experience working with stakeholders and presenting outputs
• A proactive, curious mindset with the ability to work across multiple projects

What They Offer

• Competitive salary and benefits package
• Hybrid working model with flexibility built in
• Exposure to a broad range of clients and projects
• Structured learning and development with clear progression pathways
• Opportunity to move across accounts and develop a well-rounded analytics skillset
• A collaborative environment with strong support from senior leadership

How to Apply
If you are interested in this Senior Data Analyst opportunity, please apply with your CV to learn more.

To Apply for this Job Click Here