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Senior Sales Executive - Data

England, London

  • £80,000 to £100,000 GBP
  • Engineer Role
  • Skills: Data Engineering & Analytics - Cloud Platforms (Azure, AWS, Snowflake, Databricks)
  • Seniority: Senior

Job description



Senior Sales Executive - Data & Analytics

London - Hybrid - Data Engineering & Analytics - Cloud Platforms (Azure, AWS, Snowflake, Databricks) £80k - £100k



Join a high‑growth, high‑impact data consultancy

A leading provider of data engineering, analytics, cloud data platforms, and AI‑driven solutions, this organisation partners with mid‑market and enterprise businesses across the UK to help them modernise, transform, and unlock the real value of their data.

If you're a motivated sales professional who thrives in a fast‑moving, high‑demand environment, this is the ideal place to excel. You'll benefit from the support of world‑class pre‑sales specialists, solution architects, and delivery teams-allowing you to focus on building relationships, driving revenue, and securing exciting new projects.

This is an opportunity where you can truly make your mark, develop your career, and sell services that clients actively need and value.



You'll work with:

In this role, you will be responsible for:
  • Developing new business opportunities across mid‑market and enterprise clients.
  • Managing the full sales lifecycle, supported by strong pre‑sales and delivery teams.
  • Building and nurturing a healthy sales pipeline aligned to revenue targets.
  • Owning and expanding existing accounts through upsell and cross‑sell opportunities.
  • Engaging with senior stakeholders such as Heads of Data, Analytics Managers, and IT Directors.
  • Delivering presentations, solution workshops, proposals, and client discussions.
  • Collaborating closely with marketing, pre‑sales, onshore and offshore delivery teams.
  • Maintaining accurate forecasting, CRM activity, and reporting.




Benefits

What's on offer:
  • Competitive salary with performance‑based commissions.
  • Opportunity to sell high‑demand services in data engineering, analytics, and AI.
  • Strong pre‑sales and delivery support so you can focus on client engagement.
  • Clear pathways for career growth and continuous learning.
  • Exposure to leading UK mid‑market and enterprise clients.


Key Experience

We're looking for candidates with:
  • 5-7 years of B2B sales experience in Data, Analytics, Cloud, or Digital Services.
  • Experience selling consulting or managed services.
  • Strong understanding of modern data engineering and cloud platforms (Azure, AWS, Snowflake, Databricks - high‑level).
  • Excellent communication and stakeholder management skills.
  • Experience working with pre‑sales and offshore delivery models (desirable).
  • Exposure to enterprise or mid‑market clients within sectors such as Insurance, Public Sector, or BFSI (desirable).


Ready to take the next step in your sales career?

This is a high‑impact role in a rapidly growing organisation, don't miss the chance to be part of a leading force in the UK's data and analytics landscape.

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Data Engineer

England, London

  • £50,000 to £65,000 GBP
  • Engineer Role
  • Skills: Data Engineer - Databricks / Fabric - Azure
  • Seniority: Mid-level

Job description



Data Engineer - Databricks / Fabric - Azure - Hybrid - London - £50k-£65k

Are you ready to take your Data Engineering career to the next level? Join one of the UK's fastest-growing consultancies and work on cutting-edge Azure projects, next-gen lakehouse architectures, and enterprise-scale transformation programmes that truly make an impact.

This is more than just a job, it's a chance to own meaningful projects, accelerate your growth, and become part of a team that's shaping the future of data engineering.



Why This Role Stands Out
  • Modern Tech Stack: Work hands-on with Azure Synapse, Databricks, and Microsoft Fabric on innovative solutions.
  • Enterprise Impact: Deliver scalable, high-performance data platforms for major organisations across diverse industries.
  • Career Acceleration: Structured training, funded certifications, and clear progression paths, your growth is a priority.
  • Flexibility: London office




What You'll Do
  • Design and deliver modern data solutions using Databricks, Synapse, and Fabric.
  • Build and optimise ETL/ELT pipelines and data models with SQL & Python.
  • Develop Power BI dashboards that drive insight-led decisions.
  • Implement data lakes and medallion lakehouse architectures.
  • Champion data quality, governance, and security standards.
  • Collaborate in Agile, cross-functional teams on major cloud migration and modernisation projects.




Looking For
  • Strong experience with Azure Synapse, Databricks, or Microsoft Fabric.
  • Solid SQL & Python skills for ETL/ELT development.
  • Hands-on experience with data lakes and large datasets.
  • Good understanding of BI, data warehousing, and modern data architectures.




Why You'll Love It Here
  • High-Growth Environment: Be part of a consultancy that's scaling fast and leading the Microsoft data space.
  • Real Impact: Your work will shape enterprise-grade solutions and transformation programmes.
  • Continuous Learning: Certifications, training, and mentorship to keep you ahead of the curve.




Ready to make your mark?
Roles like this don't stay open for long, apply now and take the next big step in your career!

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Web Scraping Engineer

England, London

  • £50,000 to £70,000 GBP
  • Engineer Role
  • Skills: Python, cookies, google, HTML, docker, kubernetes
  • Seniority: Senior

Job description



Senior Python Scraping Engineer - Permanent



Location: Remote

A technology company is seeking a Senior Python Scraping Engineer to design, build, and operate large‑scale, resilient web‑scraping systems. The role focuses on solving complex scraping challenges across dynamic, JavaScript‑heavy environments and platforms with strong anti‑automation defences. This position sits at the intersection of data engineering, reverse engineering, and reliability engineering.

What You'll Do

  • Design and maintain large‑scale Python scraping systems that operate reliably against highly defended websites.
  • Build scrapers for dynamic, JavaScript‑heavy pages using browser automation and hybrid techniques.
  • Continuously adapt to changes in structure, request flows, and anti‑automation mechanisms.
  • Engineer robust extraction pipelines focused on accuracy, consistency, and observability.
  • Implement proxy, fingerprinting, and request‑routing strategies to increase stability and throughput.
  • Monitor scrape health, detect failures early, and quickly resolve issues in production.
  • Optimise performance, cost, and latency across scraping infrastructure.
  • Collaborate with data engineering, data science, and product teams to ensure scraped data is reliable and usable.
  • Maintain clear documentation and operational runbooks for long‑term maintainability.

Required Skills and Experience

  • Strong professional experience with Python, including production‑grade scraping systems.
  • Deep hands‑on experience scraping Google or similarly protected platforms.
  • Solid understanding of HTTP, TLS, cookies, headers, redirects, and browser‑network behaviour.
  • Experience with tools such as Playwright, Selenium, Puppeteer, or similar browser‑automation frameworks.
  • Strong knowledge of HTML parsing, DOM traversal, and data‑extraction techniques.
  • Experience handling rate limiting, CAPTCHAs, IP rotation, and bot‑detection systems.
  • Comfortable working with asynchronous and concurrent scraping architectures.
  • Experience running scrapers at scale in cloud environments.
  • Strong debugging skills and the ability to reason about complex failure modes.
  • Experience with headless browser fingerprinting and anti‑bot evasion techniques.

Nice to Have

  • Familiarity with containerisation and orchestration technologies such as Docker and Kubernetes.
  • Experience with distributed task systems and job queues.
  • Background in data‑quality monitoring and anomaly detection.
  • Experience working with search, advertising, or competitive‑intelligence data.

What We Value

  • Pragmatic problem‑solving in hostile and fast‑changing technical environments.
  • High ownership of systems that run continuously and at scale.
  • A strong bias toward reliability, correctness, and observability.
  • Ability to explain complex technical behaviour to non‑specialists.
  • Curiosity about how large platforms evolve their defences and infrastructure.


Please send me a copy of your CV if you're interested and meet the above


Senior Snowflake Data Engineer - Remote - £competitive

England, London

  • £75,000 to £85,000 GBP
  • Engineer Role
  • Skills: Senior Snowflake Data Engineer - Remote - £competitive
  • Seniority: Senior

Job description



Senior Snowflake Data Engineer - Remote - £competitive

About the Role
We are looking for an experienced Senior Snowflake Data Engineer to join a dynamic team working on cutting-edge data solutions. This is an exciting opportunity to design, build, and optimise high-performance data pipelines using Snowflake, dbt, and modern engineering practices. If you are passionate about data engineering, test-driven development, and cloud technologies, we'd love to hear from you.



Key Responsibilities
  • Design, develop, and optimise scalable data pipelines in Snowflake.
  • Build and maintain dbt models with robust testing and documentation.
  • Apply test-driven development principles for data quality and schema validation.
  • Optimise pipelines to reduce processing time and compute costs.
  • Develop modular, reusable transformations using SQL and Python.
  • Implement CI/CD pipelines and manage deployments via Git.
  • Automate workflows using orchestration tools such as Airflow or dbt Cloud.
  • Configure and optimise Snowflake warehouses for performance and cost efficiency.




Required Skills & Experience
  • 7+ years in data engineering roles.
  • 3+ years hands-on experience with Snowflake.
  • 2+ years production experience with dbt (mandatory).
  • Advanced SQL and strong Python programming skills.
  • Experience with Git, CI/CD, and DevOps practices.
  • Familiarity with ETL/ELT tools and cloud platforms (AWS, Azure).
  • Knowledge of Snowflake features such as Snowpipe, streams, tasks, and query optimisation.




Preferred Qualifications
  • Snowflake certifications (SnowPro Core or Advanced).
  • Experience with dbt Cloud and custom macros.
  • Exposure to real-time streaming (Kafka, Kinesis).
  • Familiarity with data observability tools and BI integrations (Tableau, Power BI).




What We Offer
  • Opportunity to work with modern data technologies and large-scale architectures.
  • Professional development and certification support.
  • Collaborative, engineering-focused culture.
  • Competitive salary and benefits package.




Interested?
Apply now with your CV highlighting your Snowflake, dbt, and DevOps experience.

Data Engineering Team Lead - Remote - Databricks - Azure - 80k

England, London, City of London

  • £70,000 to £80,000 GBP
  • Engineer Role
  • Skills: Data Engineering Team Lead - Remote - Databricks - Azure - 80k
  • Seniority: Senior

Job description



Data Engineering Team Lead - Remote - Databricks - Azure - 80k

Join a Leading Microsoft Consultancy Driving Data Innovation

I'm working with a well-established Microsoft Partner with an incredible project pipeline, rapid growth, and a reputation for delivering Tech for Good. They're working on cutting-edge projects using emerging technologies like Microsoft Fabric and Azure Databricks.

We're looking for a Data engineering team lead who combines hands-on technical expertise with leadership skills to mentor a talented team and deliver exceptional solutions for our clients.



What You'll Do
  • Lead and mentor a team of Technical Consultants, driving engagement, growth, and alignment with our culture.
  • Oversee resource planning, scheduling, and performance management.
  • Collaborate with Pre-sales, Commercial, and Project Management teams to scope and deliver projects.
  • Ensure consistent delivery of technical solutions aligned with best practices and standards.
  • Support technical delivery when needed, including designing scalable data solutions in Microsoft/Azure environments.
  • Contribute to innovation through cloud migrations, data lakes, and robust ETL/ELT solutions.


What We're Looking For
  • Hands-on Data Engineering experience (not Data Analyst or Data Scientist roles).
  • Strong background in Azure Synapse, Databricks, or Microsoft Fabric.
  • Expertise in ETL/ELT development using SQL and Python.
  • Experience implementing data lakes and medallion lakehouse architecture.
  • Skilled in managing large datasets and writing advanced SQL/Python queries.
  • Solid understanding of BI and data warehousing concepts.
  • Excellent communication skills and ability to build strong relationships.
  • Ideally, experience in consulting environments and working within high-performing teams.




The company
  • Rapid Growth & Exciting Projects - Continuing to grow working on cutting-edge Microsoft Cloud solutions.
  • Investment in You - They invest in training and development, with clear certification pathways for you.
  • Home-Based Contract - Work remotely with all travel expenses covered.
  • UK-Based Delivery - We never offshore; all consultants are UK-based.
  • Competitive salary and benefits, including:
    • 25 days holiday
    • Private health insurance (after one year)
    • Life assurance (4x base salary)
    • Enhanced parental pay
    • Perkbox, Cyclescheme, Electric Car Scheme


Ready to lead and innovate? Apply now or send your CV directly to me:
l.jones@tenthrevolution.com

Data Engineer

England, London, City of London

  • £55,000 to £60,000 GBP
  • Engineer Role
  • Skills: Remote - Azure - Databricks - up to £60k
  • Seniority: Mid-level

Job description



Data Engineer

Remote - Azure - Databricks - up to £60k

I'm working with a client who are a leading Microsoft consultancy that's growing fast and shaping the future of data. They are continuing to grow, driving innovation and help clients accelerate their cloud transformation journeys. With a pipeline of cutting-edge projects, this is your chance to work at the forefront of cloud data engineering and make a real impact.



You'll Work With
  • Designing and delivering scalable projects using Databricks, Synapse & Fabric
  • Build and optimise ETL/ELT pipelines and data models with SQL & Python
  • Create advanced Power BI dashboards for actionable insights
  • Implement data lakes and medallion lakehouse architecture
  • Ensure data quality, governance & security across all solutions
  • Collaborate in an Agile environment with cross-functional teams
  • Drive cloud migrations and champion best practices in data engineering


Benefits
  • Rapid Growth & Exciting Projects - Work on cutting-edge Microsoft Cloud solutions
  • Investment in YOU - Training, certifications & clear career pathways
  • Fully Remote - Home-based contract with travel expenses covered
  • 25 days holiday
  • Private health insurance (after one year)
  • Life assurance (4x base salary)
  • Enhanced parental pay
  • Perkbox, cycle scheme, electric car scheme




Key experience
  • Strong background in Azure Synapse, Databricks, and/or Microsoft Fabric
  • Expertise in ETL/ELT development using SQL & Python
  • Experience with data lakes and large-scale datasets
  • Solid understanding of BI & data warehousing concepts






Ready to take the next step in your career? Don't delay, apply now!

Data Engineer - London - Databricks - Azure - 75k + bonus

England, London, City of London

  • £65,000 to £75,000 GBP
  • Engineer Role
  • Skills: Data Engineer - London - Databricks - Azure - 75k + bonus
  • Seniority: Senior

Job description



Data Engineer - London - Databricks - Azure - 75k + bonus + benefits

I'm currently working with a company that continues to grow even after 60 years in operation. With more than 1,000 projects completed worldwide and a combined project value exceeding $150 billion, they've established themselves as a trusted global leader in delivering high‑value work. Today, they employ over 2,500 people across three continents.


What truly sets my client apart is their commitment to their people. They prioritise respect, inclusion, and genuine care for their employees, supported by a hybrid working model that offers the best of both home and office life. To make this balance even easier, they cover all expenses for any days worked in the office, regardless of how near or far employees live.


Tech Stack: Azure | Databricks | Power BI | Python


They're looking to grow their team with a Data Engineer that thrives on innovation and cutting-edge technology. If you love solving complex data challenges and building scalable solutions, this is your chance to make an impact. Working with the latest technology, ensuring you can be at the forefront of your field.

What You'll Work With
  • Azure Data Services: Data Factory, Data Lake, SQL
  • Databricks: Spark, Delta Lake
  • Power BI: Advanced dashboards
  • ETL & Data Modelling: T-SQL, metadata-driven pipelines


What you'll do
  • Design and implement scalable Azure-based data solutions
  • Build and optimise data pipelines for integration and transformation
  • Develop Power BI dashboards for global stakeholders
  • Ensure data quality, governance, and security
  • Collaborate in an Agile environment with cross-functional teams


Benefits

This role offers a highly competitive salary up to £75k, plus a 10% discretionary bonus and an exceptional benefits package. You'll enjoy an 8% non-contributory pension with options to top up, private medical insurance, virtual GP access, and an Employee Assistance Programme. Additional perks include 25 days annual leave (with options to buy more), a day for volunteering, and extra leave with tenure, alongside lifestyle benefits such as dental plans, season ticket loans, discounted gym memberships, and a cycle-to-work scheme. This is a high-performance, high-trust environment that combines global exposure with benefits designed to support your career and wellbeing.

What We're Looking For
  • Hands-on experience with Azure & Databricks
  • Strong data engineering and modelling skills
  • Proficiency in Power BI, T-SQL, DAX
  • Ability to troubleshoot complex data issues and deliver solutions




If this opportunity is what you are looking for, apply now or send your CV directly to me:
l.jones@tenthrevolution.com

Databricks Data Engineer -London | Up to £100K

England, London, City of London

  • £90,000 to £100,000 GBP
  • Engineer Role
  • Skills: Databricks Data Engineer -London | Senior Manager | Up to £100K + Bonus
  • Seniority: Senior

Job description



Databricks Data Engineer London | Senior Manager | Up to £100K + Bonus

Ready to take your data engineering career to the next level?
Join a global consultancy on a major transformation project within the insurance domain. This is your chance to work with cutting-edge technologies, influence strategic decisions, and make a real impact in a collaborative, forward-thinking environment.



Why This Role?
  • Be part of a high-profile project driving innovation in data and analytics.
  • Work with a global leader in digital transformation.
  • Enjoy senior-level responsibilities, clear progression, and exposure to decision-makers.
  • Competitive package: Up to £100K base + 12% bonus + benefits.
  • Hybrid role based in London.




What You'll Do
  • Design and develop data pipelines and transformation workflows using Azure Databricks.
  • Collaborate with cross-functional teams to deliver data-driven solutions.
  • Work on cloud-based data storage and processing platforms.
  • Contribute to strategic decision-making and innovation in the insurance domain.




What We're Looking For
  • Proven Data Engineer with 5+ years of hands-on Databricks experience.
  • Insurance domain expertise - essential.
  • Strong background in data management, ETL, and SQL.
  • Familiarity with Azure and Microsoft BI tools.
  • Immediate start
  • No VISA sponsorship.




This is more than a job - it's a chance to shape the future of data engineering.
Apply today and join a team where your ideas matter!

Data Engineer

England, London, City of London

  • £50,000 to £55,000 GBP
  • Engineer Role
  • Skills: Data Engineer
  • Seniority: Mid-level

Job description



Data Engineer - Remote - Azure - Databricks - Up to £55k

Join a rapidly growing Microsoft consultancy that's redefining what's possible with cloud data. This is your chance to work on innovative, enterprise-scale projects, build next‑gen data platforms, and help clients accelerate their transformation journeys. If you want to be at the cutting edge of Azure data engineering, this is the place to do it.



What You'll Be Doing
  • Architect and deliver scalable solutions using Databricks, Synapse, and Microsoft Fabric
  • Build & optimise ETL/ELT pipelines and robust data models using SQL & Python
  • Create powerful, insight-driven Power BI dashboards
  • Implement data lakes and medallion lakehouse architectures
  • Champion data quality, governance, and security
  • Collaborate in an Agile, cross-functional environment
  • Drive cloud migrations and promote best practices across data engineering




What's In It for You
  • Fast Growth & High-Impact Projects - Work on cutting-edge Microsoft cloud solutions
  • Investment in You - Certifications, structured career development & continuous training
  • Fully Remote - Home-based role with paid travel when needed
  • 25 Days Holiday
  • Life Assurance (4x salary)
  • Enhanced Parental Leave




What You'll Bring
  • Strong experience with Azure Synapse, Databricks, and/or Microsoft Fabric
  • Expertise in ETL/ELT development using SQL & Python
  • Experience working with data lakes and large datasets
  • Solid understanding of BI and data warehousing concepts




This is one of the most sought-after teams in the Microsoft data space, and roles here don't stay open for long. If you want to be part of a high-growth consultancy delivering industry-defining cloud solutions, apply now before the opportunity is gone.

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Data Engineer

England, London

  • £50,000 to £65,000 GBP
  • Engineer Role
  • Skills: Azure
  • Seniority: Mid-level

Job description



Data Engineer - Azure | Databricks / Fabric - Remote - £50k-£65k

I'm currently supporting one of the UK's fastest-growing Microsoft data consultancies as they continue to scale their team. If you're a Data Engineer who wants to work on modern Azure projects, next‑gen lakehouse architectures, and large-scale transformation programmes, this one is worth a look.

This consultancy is known for investing heavily in their people, offering real progression pathways, and giving engineers the chance to take ownership of meaningful, enterprise-grade work.

If you're looking for a role where you can grow quickly and make a real impact, this could be a great fit.



What You'll Be Doing

In this role, you'll be central to designing and delivering modern data solutions for a range of clients:
  • Architect and deliver scalable data solutions using Databricks, Synapse, and Microsoft Fabric
  • Build and optimise ETL/ELT pipelines and high-quality data models using SQL & Python
  • Develop Power BI dashboards that support insight-led decision-making
  • Implement data lakes and medallion lakehouse architectures
  • Apply strong standards around data quality, governance, and security
  • Work collaboratively in Agile, cross-functional teams
  • Support major cloud migration and modernisation initiatives




What's In It for You
  • High-Growth Environment: You'll work with cutting-edge Microsoft technologies on impactful projects across multiple industries.


  • Career Development: The business actively funds certifications, structured training programmes, and clear progression opportunities.


  • Fully Remote: Work from anywhere in the UK, travel is only required occasionally and covered by the company.




You'll be a great fit if you have:
  • Strong experience with Azure Synapse, Databricks, or Microsoft Fabric
  • Solid SQL & Python skills for ETL/ELT development
  • Experience working with data lakes and large datasets
  • A good understanding of BI, data warehousing, and modern data architectures




Interested?

This team is one of the most in-demand in the Microsoft data space, and roles with them don't stay open for long.

If you'd like to explore the opportunity, apply now!