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Data Platform Agile Delivery Lead - London - £575/pd

Please note - this role will require you to attend the London based office as needed. To be eligible for this role you must have the unrestricted right to work in the UK. This organisation is not able to offer sponsorship.

Overview

My client is a global technology consulting partner, working with leading consultancies and end clients to deliver high-impact digital and technology transformation programmes worldwide. They are currently supporting a major consultancy engagement and are looking for an experienced Data Platform Agile Delivery Lead to join a high-profile delivery for a government organisation.

This role combines hands-on agile delivery leadership with strategic planning and stakeholder management, supporting a large-scale AWS DevOps platform team within a complex, regulated environment.

Role Summary

You will lead a 15-person AWS DevOps Platform team, split across three delivery pods, guiding the successful delivery of a critical data and cloud platform. Acting as both Scrum Master and delivery lead, you will ensure strong agile execution while maintaining oversight of dependencies, risks, and roadmap delivery.

The ideal candidate brings a strong DevOps or cloud engineering background, is comfortable operating at both team and programme level, and can foster accountability, pace, and collaboration across technical and non-technical stakeholders.

Key Responsibilities

* Delivery Leadership: Own end-to-end delivery of the platform roadmap, managing cross-team dependencies, risks, and stakeholder reporting
* Agile Facilitation: Lead all agile ceremonies including sprint planning, stand-ups, retrospectives, and backlog refinement across a large team
* Impediment Removal: Proactively identify and resolve technical, process, or organisational blockers to protect delivery outcomes
* DevOps Culture & Process: Support adoption of DevOps best practices including Infrastructure as Code, CI/CD, monitoring, security, and quality standards
* Stakeholder Management: Work closely with Product Managers, Architects, and Engineering leaders to align priorities and technical direction
* Metrics & Continuous Improvement: Track and analyse delivery and DevOps metrics (velocity, cycle time, deployment frequency, change failure rate) to drive performance improvements
* Coaching & Mentorship: Promote agile maturity, self‑organisation, and a culture of accountability within the team

Required Skills & Experience

* 5+ years' experience as an Agile Delivery Lead, Scrum Master, Agile Coach, or Technical Project Manager
* Strong understanding of AWS services (e.g. EC2, S3, IAM, EKS, RDS)
* Hands-on knowledge of Infrastructure as Code (Terraform or CloudFormation) and CI/CD tooling (Jenkins, GitHub Actions, GitLab CI)
* Proven ability to lead and motivate delivery teams in complex, fast-paced environments
* Strong experience using Jira or similar agile delivery tools
* Excellent communication skills, with the ability to bridge technical teams and senior stakeholders

Desirable Skills

* AWS certifications (e.g. AWS Certified DevOps Engineer)
* Agile or project certifications (CSM, CSP, PMP)
* Previous experience as a Software Engineer or DevOps Engineer

Additional Information

* Contract length: 3 months
* Day rate: £575 per day (Inside IR35)
* Location: London, with on-site attendance required for important meetings and workshops

This is a standout opportunity for a delivery-focused agile leader to play a key role in a critical cloud and data platform programme within the public sector.

To apply for this role please submit your CV or contact David Airey on 0191 338 7508 or at d.airey@tenthrevolution.com.

Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.

We're looking for a Senior Software Engineer with strong Flutter/Dart experience to join a team building large-scale mobile platform capabilities used by millions of users globally.

This is not a standard app development role. The focus is on scalable platform engineering, SDK integrations, performance, reliability, and building clean cross-platform architectures that operate at very high scale.

You'll be working across Flutter, native mobile layers, SDK integrations, and platform tooling in a modern engineering environment with a strong emphasis on quality and long-term maintainability.

Key experience:

* Strong commercial experience with Flutter/Dart
* Experience integrating native mobile functionality across iOS and/or Android
* Exposure to SDK development or SDK integrations
* Understanding of scalable mobile architectures and performance optimisation
* Experience with build/release tooling such as Gradle, Xcode, CI/CD pipelines etc.
* Any exposure to C++, native runtimes, or lower-level platform engineering is highly beneficial

Nice to have:

* Experience within high-scale consumer product environments
* Cross-platform/mobile platform engineering background
* Experience working in complex multi-language systems

This is a great opportunity for someone who enjoys solving engineering problems beyond just UI development and wants to work on highly scaled mobile platform challenges.

This is not your typical DevOps role. Expect to be hands-on, solving complex infrastructure challenges, and shaping how a modern platform evolves in a hybrid and self-managed ecosystem.

What You'll Be Doing:

-Owning and evolving large-scale Kubernetes clusters in an on-premises environment.
-Driving improvements in platform reliability, scalability, and performance.
-Building automation and backend tooling (primarily in Python).
-Working across Dev, Ops, and Infrastructure in a true platform engineering capacity.
-Contributing to CI/CD pipelines and GitOps workflows.
-Collaborating with cross-functional teams on architecture and platform strategy.

Requirements:

-Deep experience with Kubernetes in self-managed / on-prem environments.
-Strong Linux expertise (this is absolutely key).
-Solid platform engineering / DevOps background.
-Proven ability building automation, tooling, and services in Python.
-Experience with containerisation (Docker) and distributed systems.
-Strong experience with CI/CD and infrastructure as code.
-Familiarity with GitOps approaches (e.g. Argo CD).

Nice to have:

-Exposure to hybrid cloud / AWS environments.
-Experience working in large-scale, high-availability systems.
-Knowledge of backend frameworks (FastAPI, Flask, Django).
-Experience in performance-critical or data-intensive platforms.

🚀 Junior Software Tester | C++ | Madrid | Presencial

💰 Salario competitivo + formación y desarrollo
📍 Madrid - Presencial
🌍 Proyecto tecnológico innovador

¿Te interesa iniciar tu carrera en testing y calidad de software dentro de un entorno técnico y colaborativo?

Buscamos un/a Junior Software Tester para incorporarse a un proyecto tecnológico trabajando sobre aplicaciones desarrolladas en C++. No es necesario contar con experiencia previa: valoramos sobre todo la motivación, la capacidad analítica y las ganas de aprender, valorable haber trabajo en entornos con sistemas POS.

🔹 Ejecución de pruebas funcionales y de rendimiento
🔹 Testing manual y soporte en automatización
🔹 Identificación y reporte de incidencias
🔹 Colaboración con equipos de desarrollo y QA
🔹 Documentación de resultados y seguimiento de mejoras
🔹 Participación en proyectos tecnológicos innovadores

✨ ¿Qué ofrece la posición?
✔️ Oportunidad ideal para perfiles junior o recién graduados
✔️ Formación y acompañamiento dentro del equipo
✔️ Entorno colaborativo
✔️ Proyección y crecimiento profesional
✔️ Participación en productos tecnológicos de alto impacto

🧩 Valoramos perfiles con interés en QA/testing, desarrollo software o entornos C++.

📩 Si quieres conocer más detalles o valorar una nueva oportunidad, puedes escribirme directamente por LinkedIn o a p.hernando@tenthrevolution.com

The Role

We are hiring a Senior Data Platform Engineer to help build and scale a cloud-based data platform in a highly regulated environment.

The organisation is partway through its migration to Azure, with production workloads already in place. The focus now is not strategy or architecture it's execution: building reliable, production-grade data platforms that will underpin future data and AI capabilities.

This role is for engineers who have actually built platforms within azure databricks, not just contributed to them or designed them at a high level.

You will be working in a low-risk environment, where data security, governance, and cost control are critical. The expectation is that you can deliver within those constraints, not work around them.

Responsibilities

* Building and operating Azure Databricks-based data platforms used in production
* Developing end-to-end data pipelines using Python and SQL
* Configuring and optimising Databricks environments, including:

* Cluster setup, tuning, and troubleshooting
* Job orchestration and scheduling
* Managing performance vs cost trade-offs

* Implementing data transformation and modelling workflows (dbt or similar)
* Owning platform components from initial build through to production support
* Ensuring data platforms meet strict security, governance, and risk requirements
* Contributing to ongoing cloud migration and platform modernisation work

Required Experience

* Strong, hands-on experience building Azure Databricks data platforms from scratch
* Proven track record delivering and supporting production-grade data pipelines
* Solid experience with:

* Azure
* Azure Databricks
* Python
* SQL

* Experience working with data at scale (not just small or isolated datasets)
* Background in regulated or enterprise environments with governance constraints
* Comfortable working in cost-sensitive environments where efficiency matters

Nice to Have

* Hands-on experience with dbt in production
* Experience in financial services or similar regulated industries
* Exposure to cloud migration programmes
* Experience optimising Databricks for performance and cost

Why This Role

* Opportunity to build real, production data platforms, not just prototypes
* Direct impact on a platform that will enable future AI and data capabilities
* Work in an environment where engineering quality, security, and reliability actually matter
* Join a team that values delivery over theory

Your Role

As a Senior Databricks Lakehouse Architect (Swedish-Speaking), you will lead the design and evolution of enterprise-grade data platforms built on the modern lakehouse paradigm. This role is tailored for engineers who go beyond standard pipeline development focusing on performance tuning, governance at scale, and advanced Databricks capabilities.

You will act as a technical authority, shaping best practices across data engineering, platform architecture, and machine learning integration within the Databricks ecosystem.



In This Role, You Will

Own end-to-end Lakehouse architecture
Design and implement scalable lakehouse solutions using Databricks, leveraging advanced features such as Delta Live Tables, Unity Catalog, and Photon for high-performance workloads.

Build highly optimized Spark workloads
Develop and fine-tune complex distributed data pipelines using Apache Spark, with deep focus on query optimisation, partitioning strategies, and cost efficiency.

Implement advanced data governance and security
Drive enterprise-grade governance using Unity Catalog, data lineage, fine-grained access control, and compliance frameworks across Azure environments.

Engineer real-time and batch data solutions
Design streaming architectures (Structured Streaming, Auto Loader) alongside batch processing pipelines for large-scale, mission-critical data sets.

Lead ML and MLOps integration
Operational machine learning models using Databricks ML, MLflow, and CI/CD pipelines-ensuring reproducibility, monitoring, and life cycle management.

Act as a technical mentor and stakeholder partner
Collaborate with senior stakeholders, data scientists, and platform teams while mentoring engineers and setting engineering standards.



Your Profile

* Extensive hands-on experience in Data Engineering, with a strong focus on Databricks-based platforms
* Deep expertise in:

* Advanced Databricks Lakehouse architecture
* Delta Lake internals (transaction logs, optimisation, Z-ordering, vacuum strategies)
* Performance tuning in Spark (Catalyst optimiser, execution plans, memory management)

* Proven experience with Azure Data Lake Storage, Azure Data Factory, and broader Azure ecosystem
* Strong programming skills in Python and SQL, with production-grade pipeline development experience
* Hands-on experience with MLflow, feature stores, and MLOps practices
* Experience implementing data governance frameworks and working with regulated data environments
* Fluent Swedish (spoken and written) - essential for collaboration with local stakeholders



What Sets You Apart (Essesntial)

* Experience with Unity Catalog at scale across multiple workspaces
* Deep understanding of cost optimization in Databricks (cluster policies, spot instances, workload isolation)
* Experience with Delta Sharing and cross-platform data collaboration
* Building medallion architecture (Bronze/Silver/Gold) at enterprise scale
* Familiarity with infrastructure-as-code (Terraform) for Databricks deployments
* Exposure to real-time analytics and event-driven architectures

Key Responsibilities

Data Architecture & Strategy

* Define and evolve enterprise data architecture principles, standards, and models
* Develop data strategy and modelling transition roadmaps, including sequencing and dependencies
* Design canonical, domain, and analytical data models, including shared and reference data patterns
* Support federated data operating models with clear ownership and stewardship
* Drive architectural simplification, innovation, and evolution within governed environments

Governance, Risk & Compliance

* Design data architectures that meet regulatory, security, and compliance requirements
* Embed data governance, quality, metadata, lineage, and auditability by design
* Define data classification and control models supporting traceability and regulatory reporting

Cloud & Platform Architecture

* Translate logical and domain data models into physical cloud implementations
* Design schemas, pipelines, and lakehouse/warehouse patterns on modern cloud platforms
* Apply cloud data integration patterns with awareness of governance, lineage, and access control implications

Migration & Delivery

* Define and support data migration strategies, including source‑to‑target mappings and reconciliation
* Enable phased cutover approaches alongside business‑critical delivery
* Work independently across multiple initiatives, prioritising effectively in complex environments

Stakeholder Engagement

* Partner with business and technology stakeholders to capture requirements and define data products
* Communicate complex data concepts clearly to technical and non‑technical audiences
* Articulate modelling trade‑offs and architectural constraints to support informed decisions

Skills & Experience

* Strong experience in enterprise data architecture and information architecture
* Deep understanding of conceptual, logical, and physical data modelling
* Proven experience shaping data strategy aligned to measurable business value
* Knowledge of modern cloud data platforms (e.g. Databricks, Microsoft Fabric, Spark ecosystems)
* Working knowledge of architecture frameworks (e.g. TOGAF) and relevant data standards

Why Join

This is an opportunity to play a pivotal role in shaping enterprise data foundations, influencing strategy, and enabling trusted, compliant, and scalable data platforms.

As a Senior DevOps Engineer, you will work closely with development teams to ensure platforms and environments fully support product and business needs. You will also play a key role in automation, scripting, and Infrastructure as Code initiatives, helping translate strategic guidelines into practical, production-ready solutions.
This role includes both long-term initiatives and continuous improvement work, where you are expected to proactively identify areas for improvement and drive them forward in line with business goals.

Key Responsibilities

-Ensure stable operation and continuous development of cloud infrastructure
-Collaborate with development teams to streamline build, deployment, and operational processes
-Define, implement, and monitor automated processes for development, testing, release, and support
-Select, implement, and manage CI/CD tools based on business and technical needs
-Continuously improve deployment and operational workflows
-Troubleshoot and resolve infrastructure-related issues
-Take end-to-end responsibility for delivered solutions, with a strong focus on quality, stability, and manageability

Experience & Background

-Mid- to senior-level profile
-7-10 years of documented experience in relevant IT roles
-At least 4 years of hands-on experience as a DevOps Engineer

Technical Competencies

Strong understanding of IT operational processes
-AWS experience (required)
-Experience with serverless services in AWS (advantage)
-Strong experience with Kubernetes and container technologies (e.g. Docker)
-Proven hands-on experience with Terraform
-Linux-based environments (required)
-Very good scripting skills in Python and/or Shell
-Experience with monitoring and logging tools (advantage)
-Basic database knowledge (MySQL / PostgreSQL) (advantage)
-Experience with DevOps methodologies, CI/CD tools, open-source technologies, and cloud services
-Relevant university degree in IT (advantage)
-Certifications in AWS, Kubernetes, Terraform, or similar are considered a plus

Personal Qualities

-Proactive, responsible, and self-driven
-High level of curiosity and independence
-Strong analytical and problem-solving skills, especially in production environments
-Excellent communication skills in English
-Strong collaboration skills and a positive, team-oriented mindset

What you'll be doing:

-Designing, developing and maintaining full‑stack web applications.
-Building scalable backend services and APIs.
-Developing responsive, user‑friendly frontend interfaces.
-Collaborating with cross‑functional teams to deliver high‑quality solutions.
-Contributing to technical decisions, code reviews and best practices.

Requirements:

-Strong skills in modern JavaScript/TypeScript frameworks (e.g. React, Vue, Angular, Node.js).
-Solid backend experience (e.g. Node.js, Java, .NET, Python or similar).
-Experience with cloud platforms, databases and RESTful APIs.
-Fluent Swedish is essential, as you'll work with Swedish‑speaking stakeholders.

Nice to have:

-DevOps or CI/CD experience.
-Familiarity with modern UX/UI principles.

Overview

We're working with a client looking for a strong Azure Data Architect / Engineer to help shape and build out their data platform.

It's a mix of hands-on engineering and higher-level design, with a big focus on modern tooling across Azure and Microsoft Fabric. They're moving towards a more unified, lakehouse-style setup, so it's a good opportunity to work on something fairly greenfield rather than just maintaining legacy pipelines.



What you'll be doing

* Designing and building data pipelines across Azure and Fabric
* Working on lakehouse architecture (Fabric / Data Lake)
* Getting involved in data modelling for reporting and analytics
* Helping move existing solutions into a more modern Azure/Fabric setup
* Working closely with analysts and business stakeholders to understand requirements
* Keeping an eye on performance, cost, and general optimisation
* Inputting into architecture decisions (especially if you're more senior)



What they're looking for

* Solid experience across Azure data services (ADF, Synapse, Data Lake, Azure SQL)
* Some exposure to or interest in Microsoft Fabric (OneLake, pipelines, warehouse, etc.)
* Strong SQL and data modelling fundamentals
* Experience building ETL/ELT pipelines end-to-end
* Python and/or Spark (Databricks or Fabric) is a big plus
* Comfortable working in a fairly collaborative, non-siloed environment



If interested, please reach out.