The Data And AI Podcast

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LEAD DATA PLATFORM ENGINEER

£85,000 + BENEFITS

PRIMARILY REMOTE

This is a standout opportunity to take ownership of a modern data platform and drive the evolution of a Databricks‑centric environment at scale.

THE COMPANY:

This client are a well‑established organisation with a strong engineering culture and a growing Data and Machine Learning function. The team is collaborative, supportive and operates with solid engineering principles at its core. With flexible‑by‑choice working, a positive work‑life balance and a commitment to technical excellence, this is an environment where you can make a visible impact while continuing to grow your expertise

THE ROLE:

You will focus on the design, build and optimisation of the Azure Databricks Lakehouse platform, ensuring it is scalable, secure and reliable. You will work closely with engineers and stakeholders across the business, providing technical leadership and taking ownership of key data platform initiatives.

Key responsibilities include:

• Developing and deploying the Lakehouse platform in Azure.
• Owning Databricks engineering, administration and platform optimisation.
• Designing end‑to‑end data platform solutions
• Leading implementation using Databricks, PySpark, Spark SQL and Azure Data Factory.
• Creating and maintaining CI/CD pipelines and automated testing frameworks.
• Developing APIs to support integration
• Implementing monitoring, logging and alerting for platform reliability.

YOUR SKILLS AND EXPERIENCE:

• Deep expertise in Databricks, PySpark, Python and SQL.
• Proven experience designing and delivering Lakehouse solutions.
• Strong DevOps capabilities, including CI/CD and automated testing.
• Experience with Infrastructure as Code and cloud automation.
• Familiarity with monitoring, logging and alerting tools.
• Strong stakeholder engagement and the ability to work across teams.
• Experience with APIs and data integration methods.
• Azure Data Factory experience is beneficial.

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £85,000 On top of the salary there are some fantastic extra benefits.

HOW TO APPLY

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

BI Analyst

Fully Remote in The UK

£45,000-£55,000

THE COMPANY

This fast-growing online marketplace is connecting students with tutors through personalised learning support across the UK; with a team of around 40 people and a growing focus on data-led decision making, they are investing heavily in their analytics capability – this is a great opportunity to join at a pivotal stage and help shape how data is used across the business!

THE ROLE

As the BI Analyst within the Commercial Insights team, you will report into the Head of Commercial Insights and play a key role in building the reporting and analytics foundations for the business. You will work across a broad range of commercial problems, helping stakeholders define KPIs, improving reporting processes, and delivering insights that influence strategic decisions.

You can expect to:

• Build and maintain data models, including star schemas
• Develop dashboards and reporting using Tableau and Omni Analytics
• Translate business questions into actionable insights
• Define KPIs and reporting frameworks with stakeholders
• Conduct exploratory analysis to identify trends and opportunities
• Improve and scale existing reporting processes currently managed through Google Sheets
• Work closely with a Data Engineer across GCP and dbt environments
• Support the move towards a more self-serve analytics function

YOUR SKILLS AND EXPERIENCE

• Strong SQL and data modelling experience
• Experience with BI tools such as Tableau, Power BI, or Looker
• Exposure to cloud data environments such as GCP and dbt
• Strong stakeholder management and communication skills
• The ability to work autonomously in a fast-paced environment

Any experience in a two-sided marketplace environment, customer retention, churn, LTV, or cohort analysis would be highly beneficial.

THE BENEFITS

• £45,000-£55,000

HOW TO APPLY

Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Head of Data Science

London, Hybrid working (2 to 3 days per week in office). Offering a competitive salary between £150,000 to £160,000 base.

This is a senior leadership opportunity to shape and scale a high impact data science function at the heart of a profitable, fast growing fintech. The role offers significant autonomy and the chance to influence how data science drives commercial decision making across an established UK business.

The Company

They are a London based fintech providing credit and financing solutions to small and medium sized businesses. Operating in a highly data driven environment, they have built a profitable, automated lending platform supported by sophisticated statistical and machine learning models. The business is well capitalised, commercially mature, and continuing to invest heavily in data science as a core differentiator.

The Role

As Head of Data Science, you will lead a multi team data science function that underpins decisions across credit, product, operations and commercial strategy. Your focus will be on maximising the value of data science across the organisation while ensuring the function scales effectively.

Key responsibilities include:

• Setting direction for the data science function and ensuring work is aligned to core business and profitability metrics such as customer lifetime value.
• Leading, hiring and developing a large team of data scientists, including managers and senior individual contributors.
• Improving efficiency, standards and ways of working across multiple data science sub teams.
• Partnering closely with senior stakeholders across product, engineering, operations and commercial teams to ensure insights are embedded in decision making.
• Overseeing the use of probabilistic and machine learning models in production environments and contributing to longer term technical and modelling strategy.
• Helping the business prioritise where data science delivers the greatest commercial impact.

Your Skills & Experience

• Strong experience leading and scaling sizeable data science teams, including managing managers and individual contributors.
• A track record of driving measurable commercial impact through data science in a complex business environment.
• Experience operating in cross functional settings and influencing senior stakeholders.
• Deep understanding of probabilistic modelling, statistics and machine learning, ideally grounded in an academic background such as mathematics, statistics, physics or a related field.
• The ability to balance rigour with pragmatism, ensuring models and analysis deliver real world value.
• Experience building or operating data science functions where work is deployed into production.
• UK based experience and the right to work in the UK, with sponsorship available if required.

What They Offer

• Competitive base salary of £150,000 to £160,000.
• Hybrid working model with 2 to 3 days per week in the London office.
• Significant autonomy and resource to shape the function and its future growth.
• The opportunity to lead a large, well established data science team in a profitable and growing business.
• Clear scope to influence strategy, structure and long term direction of data science across the organisation.

How to Apply

If this sounds like the role for you, apply below or email me at

To Apply for this Job Click Here

To Apply for this Job Click Here

SENIOR ANALYTICS ENGINEER

£70,000-£75,000 + BENEFITS

PIMARILY REMOTE

An opportunity to join a popular telecoms company expanding into new markets!

THE COMPANY:

Over the past few years, this telecoms company has expanded. With a rich data set, they have lots of data to work with and are keen to bring in a Senior Analytics Engineer to help with data modelling and transformation.

THE ROLE:

A remote working Senior Analytics Engineer will need to:

• Design and build data models
• Support implementation and maintenance of ELT pipelines
• Ingest data into Snowflake
• Transform data using DBT
• Empower teams to make data driven teams

YOUR SKILLS AND EXPERIENCE:

A successful Senior Analytics Engineer will have the following skills and experience:

• Ability and experience interacting with key stakeholder
• Data modelling techniques – e.g. DataVault, Kimball etc.
• Strong experience in SQL/Python
• Data Cloud Tech experience – e.g. Snowflake/BigQuery/Databricks
• Data transformation experience using DBT

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £75,000 On top of the salary there are some fantastic extra benefits.

HOW TO APPLY

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

SENIOR ANALYTICS ENGINEER

£70,000-£75,000 + BENEFITS

PIMARILY REMOTE

An opportunity to join a popular telecoms company expanding into new markets!

THE COMPANY:

Over the past few years, this telecoms company has expanded. With a rich data set, they have lots of data to work with and are keen to bring in a Senior Analytics Engineer to help with data modelling and transformation.

THE ROLE:

A remote working Senior Analytics Engineer will need to:

• Design and build data models
• Support implementation and maintenance of ELT pipelines
• Ingest data into Snowflake
• Transform data using DBT
• Empower teams to make data driven teams

YOUR SKILLS AND EXPERIENCE:

A successful Senior Analytics Engineer will have the following skills and experience:

• Ability and experience interacting with key stakeholder
• Data modelling techniques – e.g. DataVault, Kimball etc.
• Strong experience in SQL/Python
• Data Cloud Tech experience – e.g. Snowflake/BigQuery/Databricks
• Data transformation experience using DBT

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £75,000 On top of the salary there are some fantastic extra benefits.

HOW TO APPLY

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

SENIOR ANALYTICS ENGINEER

£70,000-£75,000 + BENEFITS

PIMARILY REMOTE

An opportunity to join a popular telecoms company expanding into new markets!

THE COMPANY:

Over the past few years, this telecoms company has expanded. With a rich data set, they have lots of data to work with and are keen to bring in a Senior Analytics Engineer to help with data modelling and transformation.

THE ROLE:

A remote working Senior Analytics Engineer will need to:

• Design and build data models
• Support implementation and maintenance of ELT pipelines
• Ingest data into Snowflake
• Transform data using DBT
• Empower teams to make data driven teams

YOUR SKILLS AND EXPERIENCE:

A successful Senior Analytics Engineer will have the following skills and experience:

• Ability and experience interacting with key stakeholder
• Data modelling techniques – e.g. DataVault, Kimball etc.
• Strong experience in SQL/Python
• Data Cloud Tech experience – e.g. Snowflake/BigQuery/Databricks
• Data transformation experience using DBT

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £75,000 On top of the salary there are some fantastic extra benefits.

HOW TO APPLY

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Analytics Engineer

£60,000 – £70,000

Fully Remote (1 day a month in Uxbridge)

This is a rare opportunity to step into a hands-on analytics engineering role where your work will have immediate impact. You will be central to rebuilding and strengthening a core data capability, shaping how analytics supports product and customer decisions across the business.

THE COMPANY

They are a well-established UK mobile network operator with a strong digital and data-led culture. Analytics plays a key role in how products are developed and improved, with teams encouraged to focus on practical delivery rather than process.

THE ROLE

As an Analytics Engineer you will join a small but critical core analytics team that supports multiple product areas across the business.

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

• Design, build and maintain analytics ready data models used across the organization.
• Develop transformations using dbt on a Snowflake data platform.
• Apply best practice dimensional modelling to create reliable, well-structured datasets.

SKILLS AND EXPERIENCE

The successful Analytics Engineer will have the following skills and experience:

• Strong commercial experience writing complex SQL for analytics and data modelling.
• Proven experience designing dimensional data models, ideally using Kimball principles.
• Hands on experience using dbt for data transformation.
• Experience working with cloud data warehouses, ideally Snowflake.
• Comfortable using Python or similar languages for data logic and problem solving.
• A builder mindset with a clear focus on technical delivery.

BENEFITS

The successful Analytics Engineer will receive the following benefits:

• Salary between £60,000 – £70,000 – depending on experience
• Remote-first working model with 1 day a month in office, in Uxbridge.

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

Analytics Engineer

£60,000 – £70,000

Fully Remote (1 day a month in Uxbridge)

This is a rare opportunity to step into a hands-on analytics engineering role where your work will have immediate impact. You will be central to rebuilding and strengthening a core data capability, shaping how analytics supports product and customer decisions across the business.

THE COMPANY

They are a well-established UK mobile network operator with a strong digital and data-led culture. Analytics plays a key role in how products are developed and improved, with teams encouraged to focus on practical delivery rather than process.

THE ROLE

As an Analytics Engineer you will join a small but critical core analytics team that supports multiple product areas across the business.

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

• Design, build and maintain analytics ready data models used across the organization.
• Develop transformations using dbt on a Snowflake data platform.
• Apply best practice dimensional modelling to create reliable, well-structured datasets.

SKILLS AND EXPERIENCE

The successful Analytics Engineer will have the following skills and experience:

• Strong commercial experience writing complex SQL for analytics and data modelling.
• Proven experience designing dimensional data models, ideally using Kimball principles.
• Hands on experience using dbt for data transformation.
• Experience working with cloud data warehouses, ideally Snowflake.
• Comfortable using Python or similar languages for data logic and problem solving.
• A builder mindset with a clear focus on technical delivery.

BENEFITS

The successful Analytics Engineer will receive the following benefits:

• Salary between £60,000 – £70,000 – depending on experience
• Remote-first working model with 1 day a month in office, in Uxbridge.

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