Recherche actuelle

Head of Engineering - Permanent

Location: Remote
Reports to: CTO

A fast‑growing technology company is seeking a Head of Engineering with deep experience building and scaling complex, data‑driven platforms. This role requires someone who can lead multi‑disciplinary teams, improve engineering execution, and drive technical excellence across high‑scale distributed systems and machine‑learning environments.

Required Experience

* Leadership of engineering organisations of 20 or more across multiple disciplines, including backend, web, data, ML, QA, and DevOps.
* Proven track record designing, scaling, and maintaining distributed systems and high‑volume data pipelines.
* Strong background in cloud‑native architectures and modern data stacks such as Spark or Databricks.
* Experience working closely with Data Science teams, including delivering production‑grade ML models and pipelines.
* Solid understanding of modern frontend engineering practices (e.g., TypeScript, React) to guide cross‑functional technical decisions.
* Robust DevOps knowledge, including CI/CD pipelines, container orchestration, monitoring, reliability engineering, and cloud infrastructure management (AWS preferred).
* Demonstrated ability to balance delivery speed with long‑term technical quality, reliability, and maintainability.
* Experience hiring, mentoring, and developing engineering leaders and high‑performing teams.

Role Overview

You will own engineering execution for a platform that processes large datasets, supports distributed computation, and integrates machine‑learning capabilities at scale. The engineering organisation already uses AI‑assisted development, and you will refine these practices, improve delivery predictability, and strengthen the technical foundation for long‑term growth.

Responsibilities

* Lead the engineering roadmap and technical execution across all product and platform teams.
* Guide architectural decisions in data engineering, ML, and web application development.
* Implement engineering KPIs to improve delivery speed, quality, and reliability.
* Develop a strong engineering culture centred on ownership, collaboration, and high performance.
* Partner with Product, Data Science, and DevOps to deliver high‑quality, scalable solutions.
* Manage engineering budgets, tooling, and cloud infrastructure costs.

Preferred

* Experience in search, advertising technology, or competitive intelligence.
* Familiarity with ML lifecycle tooling and agentic coding approaches.

Please send me a copy of your CV of you meet all of the above

SQL DBA - UK Remote - Azure - £65K

I'm currently working with a well revered Managed Service provider who are expanding their DBA team and so hiring a mid-senior level DBA.

Working alongside a very talented and technical team of 7 other DBA's you will provide top tier service to clients across the UK. Aside from the work itself, training and development are high on the agenda here with professional development an important factor in joining this business.

The role is fully remote and offering a salary of up to £65,000 DOE

Skills required:

- Experience as a DBA managing estates both on premise and in Azure/AWS.

- Experience working on migration projects to the cloud.

- Performance tuning within SQL, delivering high availability, always on and replications.

- Experience in Powershell scripting.

- Nice to have experience working with external stakeholders/customers.



If you feel like you have all or most of the above skills then please reach out ASAP with interviews to be booked this week and next. Don't miss out on one of the best opportunities in the DBA space.

Security Risk Specialist -LLM's

Location: London
Department: Security Risk Management
Reports to: Head of Security Risk Management & Assurance Inside IR35
Two Days in London
Must have LLM's

Overview

A leading technology‑driven organisation is seeking a Security Risk Specialist to support the design, implementation, and continuous improvement of its security risk management framework. This role will work across a variety of security risk activities, contributing directly to the organisation's overall security posture and the maturity of its risk function.

This position is well‑suited to a pragmatic, motivated individual with strong experience in security risk management and an interest in modern risk practices, automation, and responsible use of AI technologies.

Key Responsibilities

* Operate and enhance the organisation's security risk management framework in alignment with business objectives, industry standards, regulatory requirements, and stakeholder expectations
* Conduct security risk assessments and support the development of risk mitigation recommendations and tailored treatment strategies
* Analyse and optimise existing risk management processes, identifying gaps and opportunities for improvement, including automation and tooling
* Collaborate with cross‑functional teams to embed security risk management processes and advise on risks, controls, and best practices within relevant business contexts
* Produce, track, and improve security risk metrics and reporting to strengthen visibility and decision‑making
* Contribute to the development and refinement of security awareness and risk management training materials

Requirements

Candidates should have:

* Hands‑on experience in security risk management within a fast‑paced organisation, ideally within the technology or regulated sectors
* Experience designing, implementing, and improving processes and procedures for security risk management
* Experience conducting security risk assessments in cloud environments
* Understanding of technologies and operational practices used by modern agile organisations
* Experience defining, using, and enhancing security metrics and risk reporting
* Ability to engage effectively with both technical and non‑technical stakeholders across the business
* Familiarity with standards such as PCI‑DSS, NIST SP800‑53, NIST CSF, ISO 27001, and SOC 2
* Practical experience using Large Language Models (LLMs) inday‑to‑day security risk management activities, including:

* Accelerating risk analysis and documentation
* Supporting control gap analysis and evidence reviews
* Assisting with the development of policies, standards, and procedures
* Enhancing reporting, insights, and stakeholder communication

* Ability to identify opportunities to responsibly apply automation and AI/LLMs to improve efficiency, consistency, and scalability

Preferred

* A blend of consulting and in‑house industry experience
* Experience implementing enterprise‑grade integrated risk management or GRC solutions
* Professional certifications such as CISM, CRISC, CISA, CISSP

Please send me a copy of your CV if you meet the requirements

Data Solution Architect - Group & Enterprise Services

An organisation is seeking an experienced Data Solution Architect to help shape its data strategy and lead the design of scalable, secure and cost‑effective data solutions. The role sits within a central data and analytics function and focuses on maturing enterprise data architecture, promoting modern data practices, and supporting a Data Mesh-aligned operating model.

Key Responsibilities

* Engage across technical and business teams, tailoring communication for different stakeholders.
* Lead end‑to‑end data solution design, ensuring alignment with enterprise architecture, governance and cost considerations.
* Provide expertise in cloud data platforms, data governance, security and modern data architecture.
* Work with domain experts to understand business data and develop usable, reusable data products.
* Support full delivery lifecycle including design, modelling, security reviews, testing and transition to BAU.
* Contribute to the design and build of data solutions on cloud platforms, particularly BigQuery and native transformation tooling.
* Collaborate with vendors on assessments, RFPs and solution implementation.

Essential Skills

* Strong experience with cloud‑native data architectures, ideally on GCP.
* Deep knowledge of BigQuery, modern data processing patterns, warehouses and Lakehouse design.
* Experience with data governance, lineage, metadata and data quality tooling.
* Practical delivery of Data Products aligned to Data Mesh principles.
* Strong architectural modelling and documentation skills.
* Experience designing for performance, scalability, resilience and cost optimisation.
* Ability to influence architectural direction and work with diverse stakeholders.
* Understanding of architectural governance processes.

Desirable

* Familiarity with EA frameworks such as TOGAF or Zachman.
* Experience in financial services or insurance.
* Knowledge of SDLC, DevOps, and data engineering delivery models.
* Exposure to multi‑cloud environments.





Please send me a copy of your CV if you meet the requirements

Contract Role: PBI Specialist (SC Cleared)
Location: UK (on‑site or hybrid depending on project)
Clearance: Active SC clearance required
Day Rate: Competitive

Overview
We are looking for an experienced PBI (Power BI) Specialist with active SC clearance to support a high‑profile programme within a secure environment. The successful candidate will work closely with data, analytics, and delivery teams to design, build, and optimise Power BI solutions that drive effective reporting and decision‑making.

Key Responsibilities

* Develop, enhance, and maintain Power BI dashboards and reports
* Convert complex data sets into clear, actionable visual insights
* Work with stakeholders to gather requirements and translate them into technical solutions
* Optimise data models, DAX calculations, and performance across reports
* Ensure data integrity, governance, and compliance with secure‑environment standards
* Support automation and process improvement initiatives

Essential Skills

* Valid SC clearance
* Strong experience with Power BI (Desktop, Service, DAX, modelling)
* Ability to work with SQL, data warehouses, and structured data sources
* Background in BI, reporting, analytics, or data visualisation
* Strong stakeholder engagement and communication skills
* Experience working within secure or regulated environments

Desirable Skills

* Experience with Azure (Data Factory, Synapse, Databricks)
* Knowledge of ETL processes
* Understanding of government or defence sector reporting standard

Senior Python Scraping Engineer - Permanent

UK BASED ONLY

What You'll Do:
Design and maintain large-scale Python scraping systems that operate reliably against Google and other highly defended websites
Build scrapers for dynamic, JavaScript-heavy pages using browser automation and hybrid approaches

Must have:
Strong Python background with production‑grade scraping, including protected platforms like Google.
Deep knowledge of browser automation, web protocols, parsing, and handling anti‑bot challenges (CAPTCHAs, IP rotation, fingerprinting).
Experienced running large‑scale, asynchronous scraping systems in the cloud with high resilience and reliability.

We are looking for a Web Scraper, not a Data Engineer

Remote
Start Date: ASAP

Please send CVs over if you meet the requirements

Senior Python Scraping Engineer - Permanent

What You'll Do:
Design and maintain large-scale Python scraping systems that operate reliably against Google and other highly defended websites
Build scrapers for dynamic, JavaScript-heavy pages using browser automation and hybrid approaches

Must have:
Strong Python background with production‑grade scraping, including protected platforms like Google.
Deep knowledge of browser automation, web protocols, parsing, and handling anti‑bot challenges (CAPTCHAs, IP rotation, fingerprinting).
Experienced running large‑scale, asynchronous scraping systems in the cloud with high resilience and reliability.

We are looking for a Web Scraper, not a Data Engineer

Remote
Start Date: ASAP

Please send CVs over if you meet the requirements

Senior Databricks Data Engineer - London - Insurance - £100K

Are you ready to take your career to the next level in a rewarding environment that values your expertise?

We are seeking a Senior Azure Databricks Engineer for a permanent, hybrid role based in London. In this position, you will leverage Azure Databricks to drive innovative data solutions and contribute to enhancing our data engineering capabilities. This is an excellent opportunity for individuals who thrive in collaborative environments and are passionate about making an impact.

Key responsibilities include:
- Designing and implementing scalable data processing solutions using Azure Databricks.
- Collaborating with cross-functional teams to optimize data workflows.
- Ensuring data quality and governance across various pipelines.
- Mentoring and supporting junior data engineers to foster growth and innovation.

Requirements to be successful:

- Azure Data Services experience (including Azure ADF, Data Lake, Key Vault, Azure Functions and Databricks Delta Lake, PySpark and Unity Catalog)

- Experience within the Lloyds of London insurance market

If you are an experienced Azure Databricks engineer looking to make a meaningful contribution, we encourage you to apply for this exciting opportunity. Your skills could shape the future of data engineering with us.

Data Product Owner

Outside IR35

* Start Data ASAP
* Contract Length: 6 months
* Location: Newcastle Upon Tyne 1 day a week
* SC Clearance preferable. BPSS with view to getting cleared

The Data Product Owner is accountable for maximising the business value of one or more data products, treating data as a product with clear consumers, measurable value, and defined service levels.

They act as the primary bridge between business stakeholders and delivery teams, owning the product vision, backlog prioritisation, and ongoing performance of the data product across its lifecycle. Each data product has a clearly identified owner who is commercially and operationally responsible for its success .

Key Responsibilities

Product Vision & Strategy

* Define and communicate a clear product vision and roadmap for assigned data products, aligned to business outcomes and strategic priorities .
* Ensure each data product is valuable, usable, feasible, and viable for its intended consumers .
* Act as the accountable owner for the success (or failure) of the data product in delivering measurable business value .

Stakeholder Management

* Serve as the primary point of contact for business stakeholders, data consumers, and delivery teams .
* Translate business needs into clear, prioritised product requirements and outcomes.
* Balance competing stakeholder demands while maintaining focus on agreed product goals.

Backlog Ownership & Prioritisation

* Own and prioritise the product backlog, ensuring delivery teams are always working on the highest-value items .
* Define user stories and acceptance criteria with a strong focus on consumer value and usability.
* Make informed trade-offs between scope, quality, time, and cost.

Data Product Delivery Agreements & SLAs

* Define, own, and maintain Data Product Delivery Agreements, including SLAs covering quality, timeliness, availability, and reliability .
* Agree and track non-functional requirements such as refresh frequency, retention, and recovery expectations.
* Ensure consumers clearly understand intended use, limitations, and notice-of-change commitments.

Value Measurement & Performance Monitoring

* Define success metrics and value measures for each data product, including usage, engagement, and business impact .
* Monitor product performance and data quality, initiating corrective action where standards are not met.
* Regularly review product value and make evidence-based decisions on enhancement, maintenance, or retirement.

Data Quality, Ethics & Compliance

* Ensure data products meet agreed data quality thresholds and are trustworthy for decision-making .
* Embed regulatory, privacy, and ethical considerations into product design and operation .
* Act as a steward for responsible data use within the product domain.

Cross-Functional Leadership

* Work closely with engineers, analytics engineers, platform teams, and UX to deliver high-quality data products .
* Champion a "data as a product" mindset across business and technical teams.
* Contribute to the evolution of product management and data product practices across the organisation.

Required Experience & Skills

Essential

* Proven experience as a Product Owner, Product Manager, or similar role in a data, analytics, or platform environment.
* Strong understanding of data and analytics concepts (e.g. data products, data quality, analytics use cases).
* Experience owning and prioritising backlogs and working with cross-functional delivery teams.
* Excellent stakeholder management and communication skills.
* Ability to define and measure business value.

Desirable

* Experience working with data platforms, analytics products, or data mesh-style ownership models .
* Familiarity with defining SLAs, service promises, or delivery agreements for data products.
* Experience operating in regulated or ethically sensitive data environments.
* Exposure to Agile and product management frameworks.

Please send me a copy pf your CV if you're interested?

Analytics Solution Engineer- Contract Opportunity

Remote
Inside IR35
6 Months

Responsibilities
* Managing and resolving platform issues, alerts, and incidents
* Maintaining platform artefacts including secrets, clusters, and release components across Palantir Foundry and Azure Databricks
* Supporting Data Engineers with pipeline creation and platform usage
* Implementing Terraform modules, performing health checks, managing secrets, and overseeing release processes
* Conducting GitHub peer reviews and taking ownership of software components
* Ensuring reliability and performance of Databricks and Palantir Foundry platforms
* Delivering DevOps work to build analytics infrastructure, support redlines, and improve processes
* Performing audit data analysis, data restore operations, immutable backups, networking and access configuration
* Managing PowerBI gateways, VM reservations, Event Hub TUs, serverless compute clusters, and Terraform deployments

Required Skills
* Azure Databricks
* Git / GitHub
* DevOps & Cloud Operations
* Azure Functions
* Data Streaming
* PySpark, Python, SQL
* Automation & Public Cloud
* Cloud Infrastructure
* Terraform
* Palantir Foundry
* PowerBI
* Software Lifecycle Management

If you meet the requirements please send me a copy of your