Recherche actuelle

Position Title: Data Engineer

About the Role:

We're seeking a dynamic and resourceful Data Engineer to become part of our expanding team. In this role, you'll be responsible for building and maintaining robust, scalable data pipelines and infrastructure that support analytics and reporting across the organization. You'll partner with both technical and business teams to ensure data flows efficiently, systems are dependable, and our data strategy is future-ready. The right candidate thrives in a fast-paced environment, is a collaborative problem-solver, and brings a sharp, adaptable mindset to technical challenges.

What You'll Do:

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Pipeline Engineering: Develop and maintain scalable ETL/ELT workflows to support data needs across analytics, operations, and business functions.
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Infrastructure Design: Architect and fine-tune data platforms across cloud and hybrid environments for optimized access and performance.
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Cross-Functional Collaboration: Partner with data scientists, analysts, engineers, and product teams to deliver reliable, actionable data solutions.
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System Performance: Ensure systems are built with scale in mind, proactively managing performance and growth.
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End-to-End Ownership: Manage the full data lifecycle-from ingestion through transformation and delivery-without handoffs or silos.
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Data Quality & Compliance: Uphold data integrity, security, and traceability in line with internal and regulatory standards.
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Innovative Problem Solving: Navigate evolving challenges with a solution-oriented mindset and flexible approach to tools and technologies.
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Team Engagement: Contribute to a small, high-impact team where every voice counts and initiative drives progress.

What We're Looking For:

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Education: A bachelor's degree in Computer Science, Engineering, or a related discipline (advanced degrees welcomed).
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Professional Experience: Solid background in data engineering across data ingestion, transformation, and storage layers.
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Technical Proficiency: Strong command of SQL and experience with at least one core technology (e.g., Python, Scala, Spark, Snowflake, AWS, etc.).
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Adaptability: Comfortable working in changing technical landscapes and open to evolving tools and priorities.
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Data Architecture Knowledge: Deep understanding of database systems, data modeling practices, and cloud-based infrastructure.
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Workflow Tools: Experience with orchestration tools like Airflow, dbt, or comparable systems.
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Nice to Have: Familiarity with business intelligence platforms such as Power BI, Tableau, or MicroStrategy.

Key Attributes:

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Proactive and solution-focused, not afraid to take ownership.
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Strong analytical and systems thinking skills with a practical mindset.
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Clear communicator who can articulate technical ideas to various audiences.
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Team player who can also thrive in independent settings.
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Detail-oriented, reliable, and invested in the team's and company's success.
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Agile and professional under pressure, with a flexible approach to shifting priorities.

A leading global data consultancy is searching for an experienced Machine Learning Solutions Architect to join its growing, remote-first team. Partnering with major cloud platforms (Primarily Snowflake, AWS & Databricks), this company delivers cutting-edge services designed to solve complex data challenges for large enterprises.

What You'll Do:

* Architect and implement data science deployment solutions tailored to enterprise client needs, focusing on model inference, monitoring, retraining, and infrastructure setup.
* Collaborate with data scientists to prepare and transform data into production-ready formats.
* Build environments for model development and testing, ensuring operational readiness and maintainability.
* Design integration strategies with existing business systems to ensure scalability and long-term success.
* Lead efforts in model QA, testing, validation, and production rollout.
* Champion best practices for software development, model deployment, and infrastructure.

What You Bring:

* 6+ years of experience in roles such as ML Engineer, Software Engineer, or Data Engineer. However some kind of background in data engineering is crucial for the role
* Strong background in Python, Scala, Java, or comparable languages.
* Proficient in deploying models in real-world production environments.
* Expertise in SQL and distributed computing tools (e.g., Spark, Snowflake, Databricks).
* Familiarity with various data sources and systems (Kafka, RDBMS, cloud platforms).
* Solid grasp of cloud infrastructure and architecture (e.g., AWS, Azure, GCP).
* Experience in developing APIs or backend applications using modern frameworks.

Preferred Qualifications:

* Advanced degree in a relevant technical field.
* Hands-on experience with ML tools and frameworks such as TensorFlow, Keras, scikit-learn, or H2O.
* Experience with containerization tools like Docker or Kubernetes.
* Familiarity with model management tools (MLflow, Sagemaker, Azure ML).
* Contributions to open-source projects or relevant personal initiatives.

Benefits:

* Flexible, remote-first working model.
* Culture that values creativity, autonomy, and team collaboration.
* Competitive compensation, strong benefits, and generous PTO.
* Ongoing professional development including certification opportunities.
* Inclusive environment where diverse perspectives are welcomed and celebrated.



Equal Opportunity:
This company is committed to diversity and inclusion, offering a workplace that supports all employees regardless of background, identity, or experience. Accommodations are available for applicants with disabilities.

Lead Data Engineer - Snowflake, DBT, Airflow - London - Up to £100k

I'm working with a key client of ours here at TRG who are looking to grow out their Data & Analytics function. My client are globally renowned for being a leader within their relative field. Whilst they are a very well recognised house hold brand, they are also known within the tech community for embracing technology and using it to drive forward strategic decision making.
As a company, they are listed in the top 10 for top 100 companies to work for and equally, they are extremely proud of their people first culture. They invest heavily into each employee across the business through development plans and unparalleled progression opportunities but also, they enable tech enthusiasts to bring out the best in technology by utilising the latest technologies available on the market.

This role is sat within the Data engineering team. Whilst this is a lead role, the expectation is that this is very much about leading from the front and being in the trenches of engineering & Development. This is a hands on role where the successful applicant will be building pipelines but also being heavily involved in designing architectures for an array of projects where greenfield snowflake implementations will be taking place.

This is a salaried position and depending on experience, it can pay up to £100k with some comprehensive benefits. This includes a bonus but also a pension scheme that pays up to 14%! As previously mentioned, they have great career development plans as well as access to industry leading training.
Finally, they recognise that work life balance is extremely important and that a happy employee means higher productivity! So they offer very flexible working arrangements through both WFH options and flexi working hours.

Experience required...

* Expert in Snowflake
* Strong DBT experience
* Strong Airflow experience
* Expert knowledge and understanding of Data Warehousing
* Strong AWS experience

This is a great opportunity to join outstanding organisation who pride themselves on being one of the best companies to work for. Interviews are already taking place so don't miss out and apply now!

If this is of an interest then get in touch ASAP. Send across your CV to t.shahid@nigelfrank.com or alternatively, give me a call on 0191 3387551.

Keywords: Snowflake, DBT, SQL, Airflow, AWS, Engineer, DWH, Data Warehouse, Data Warehousing, Architecture, London

Senior AI Developer - Python - £80,000 - £100,000 - Hybrid - London



Company Overview:

My client is a trusted Financial Services provider located in the heart of London. They pride themselves on working with sectors that make a positive impact on society such as infrastructure, education and energy.

At this organisation their people are prioritised as the centre of everything they do - not only is this an enjoyable place to work, but it is an excellent environment to develop and progress your career. They are platforming their tech function to drive growth over the next 5 years and you have the chance to be a key player in this transformation from the off.

Role Overview:

As a Senior Developer you will embark on a greenfield Artificial Intelligence project, this is an opportunity to define, build, and implement the organisations AI capabilities. You will use Python to build out this AI capacity in order to automate processes and improve efficiency within the business.

Requirements:

* Expert Python Developer
* Experience Building out AI Solutions
* Data / Database Experience
* Cloud Experience



Interviews ongoing don't miss your chance to secure the future of your career!



Contact me @ j.shaw-bollands@tenthrevolution.com or on 0191 338 6641.







AI (artificial intelligence),Azure Data Factory, Python, Oracle, SQL, Mongo, Financial Services, Chat GPT, CoPilot, Jira

Software Developer Opportunity - Join an Innovative In-House Team in Stavanger!

We're working with a forward-thinking company based in Stavanger, and they're on the lookout for their next Software Developer to help build something truly impactful.

This is a unique opportunity to join a small, innovative team combining cutting-edge geophysical measurements with advanced imaging and data delivery software to map and understand Norway's stunning coastline like never before.

Tech stack:
.NET | C# | Azure | Python

What you'll do:

* Be one of the first developers on a brand-new product
* Play a key role in building their next-gen software platform
* Work hands-on with the latest technologies
* Take real ownership of the solution from day one
* Grow with the company as it scales

This is perfect for someone who loves the idea of joining early, shaping product direction, and being part of a mission-driven team making a difference through tech.

Location: Stavanger (in-house team)

If you're curious and want to learn more, drop me a message - I'd love to share the details.

Tenth Revolution Group are working with a leading organization in the hospitality industry who are looking to add a Senior AI Engineer to the team on a permanent basis.

Successful applicants for this role will be able to demonstrate hands on experience designing, coding, and shipping production workloads built entirely on AWS Serverless. Applicants must have strong experience with Node.js functions running in AWS Lambda behind API Gateway, with event-driven patterns. Experience modernizing legacy services, building green-field APIs, and optimizing cold-start performance at scale will be highly advantageous.

Aktuell suchen wir einen erfahrenen BI Professional (m/w/d), der mit Snowflake und Power BI routiniert arbeitet und unser BI-/DWH-Team tatkräftig unterstützt. Nachfolgend eine gekürzte, umformulierte Stellenausschreibung:

Ihre Aufgaben

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Konzeption, Modellierung und Pflege von BI- und Data-Warehouse-Lösungen in enger Abstimmung mit Fachbereichen und IT-Kollegen
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Entwicklung intuitiver Reports und Dashboards mit Power BI auf Basis von Snowflake-Daten
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Proaktive Impulse zur Weiterentwicklung und Optimierung unserer BI-/DWH-Systeme und -Prozesse
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Kooperation mit externen Dienstleistern und Teilnahme an unserer standortübergreifenden BI-Community, um Best Practices und Neuerungen auszutauschen

Ihr Profil

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Abgeschlossenes Studium der (Wirtschafts-)Informatik oder vergleichbare Ausbildung (z. B. Fachinformatiker/in) mit mehrjähriger einschlägiger Berufserfahrung im BI-/Data-Warehouse-Umfeld
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Sicheres analytisches Denkvermögen sowie strukturiertes, methodisches Vorgehen
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Fundierte praktische Kenntnisse in Power BI und Snowflake; Cognos-Kenntnisse sind von Vorteil
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Kommunikationsstärke, sicheres Auftreten und ausgeprägte Serviceorientierung im Austausch mit Fachbereichen
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Hohe Eigeninitiative, Einsatzbereitschaft, Flexibilität und Interesse an kontinuierlichen Verbesserungen

Das bieten wir

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Hohe Eigenverantwortung und viel Freiraum für eigene Ideen
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Flexible Arbeitszeiten und mobiles Arbeiten (nach Absprache)
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30 Tage Urlaub bei Vollzeit
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Sicherer Arbeitsplatz mit attraktiver Vergütung und diversen Sozialleistungen (z. B. Sport- und Gesundheitsangebote, Kantinenzuschuss, Mitarbeiterrabatte)
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Firmenlaptop, Jobticket, Parkplatz, Mitarbeiterevents und vermögenswirksame Leistungen



Bewerbung:

Um Dich auf diese Stelle zu bewerben, sende Deinen vollständigen Lebenslauf unter Angabe Deiner Gehaltsvorstellung an n.ritterbach@tenthrevolution.com . Bei weiteren Fragen stehen wir Dir auch telefonisch unter +49 221 6503 3921 zur Verfügung.

Die Frank Recruitment Group ist einer der globalen Marktführer in der Vermittlung von IT-Spezialisten. Seit 2006 vermitteln wir qualifizierte Fachkräfte für Jobs und Projekte an Unternehmen aller Art und Größe. Vom Start-Up, das einen Entwickler braucht, bis hin zu internationalen Unternehmen, die ein komplettes Team an einem neuen Standort aufbauen - wir sind der passende Ansprechpartner.

Wir sind Teil der Tenth Revolution Group und verbunden mit dem Unternehmen TPG Growth, zu dem Marken wie Uber, Airbnb, Survey Monkey und Spotify gehören.

Impressum - https://www.frankgroup.com/de/impressum/

Technical Responsibilities

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Own the end-to-end design and rollout of AI solutions that accelerate sales forecasting, quote generation, and marketing content creation.
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Map current processes in Microsoft Dynamics 365 Business Central (BC); identify data sources, gaps, and integration points for AI.
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Architect and implement Azure-based services (Azure OpenAI Service, Cognitive Services, Azure Machine Learning, Data Factory, Synapse, Functions, Logic Apps) to ingest data, train models, and deploy scalable, secure APIs.
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Build and maintain reusable forecasting and CPQ models, prompt libraries, and generative-content templates; establish CI/CD and MLOps pipelines.
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Define and enforce AI governance: data quality standards, versioning, telemetry, bias mitigation, security, and Responsible AI compliance.
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Lead backlog grooming, sprint planning, and cross-functional collaboration with product, marketing, and IT; serve as the technical lead for adoption of AI across the organization
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Track and report performance metrics (latency, accuracy, ROI) and continuously optimize models and workflows.

Required Skills & Experience

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Successful track record of delivering data analytics / software solutions, with recent lead role(s) in production AI/ML and/or generative-AI deployments.
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Deep expertise in Azure AI stack (Azure OpenAI, Cognitive Services, Azure Machine Learning, Data Lake, Synapse, Data Factory) and in designing secure, high-availability cloud architectures.
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Hands-on knowledge of Microsoft Dynamics 365 Business Central APIs, AL extensions, and Power Platform (Power Automate, Power Apps, Copilot Studio, Dataverse).
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Strong programming background (Python, SQL) and proficiency with Git-based CI/CD, RESTful API design, and serverless/event-driven patterns.
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Proven delivery of forecasting, CPQ, or marketing-content AI solutions at enterprise scale; fluency in prompt engineering, retrieval-augmented generation, and vector databases (e.g., Azure Cosmos DB, Elastic).
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Experience standing up MLOps frameworks (MLflow, Azure ML pipelines) and monitoring for model drift, data shifts, and cost efficiency.
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Solid grasp of data governance, privacy (GDPR/CCPA), security best practices, and Responsible AI principles.
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Exceptional stakeholder-management and leadership skills; adept at evangelizing new technology and mentoring engineers in an agile environment.



This position is on-site in Dallas, specifically in the vicinity of Grapevine so candidates must be local, and willing to work onsite 5 days per week.

Position Title: Data Analyst

Job Overview:

The Data Analyst will support data analysis and reporting efforts, handling everything from data acquisition to generating insights. This role involves working with technical teams to extract and analyse data from the company's central repository using advanced reporting tools. The Analyst will provide actionable insights and recommendations that help inform decision-making processes across the organization.

Key Responsibilities:

* Data Analysis & Reporting: Analyse organizational performance and trends, identifying significant patterns, outliers, and factors that impact outcomes.

* Insight Generation: Investigate data to reveal patterns and behaviours that can inform business decisions and improve overall performance.

* Strategic Recommendations: Provide recommendations based on analysis to assist leadership with both strategic and operational decisions via white papers.

* Reporting & Presentations: Prepare and present reports to key internal and external teams via power point, helping guide data-driven decision-making.

* Validation Studies: Conduct studies using external data sources to support the company's overall value proposition.

* Data Strategy Development: Propose and implement strategies to enhance data management, accessibility, and reporting processes.

* Technical Tools Usage: Leverage reporting tools such as MicroStrategy to generate in-depth reports and analyses from the data warehouse.

* Flexible Role: This job description outlines the general responsibilities, but additional tasks may arise as needed.

Qualifications:

* Education: Bachelor's degree in Computer Science, Information Technology, or a related field (graduate degree preferred).

* Experience: Experience in data analysis, with a strong background in handling large data sets and proficiency with tools such as SPSS, MS-SQL, PL/SQL, SQL, Access, or Python.

* Experience with data visualisation and reporting tools like Power BI, MicroStrategy, or Tableau is essential.

* Ability to independently manage tasks and offer support to junior team members when needed.

* Strong project management and presentation skills are crucial.

Skills & Competencies:

* Demonstrates core values such as attention to detail, initiative, and adaptability.

* Strong problem-solving abilities, with a logical approach to analysing data and providing solutions.

* Excellent communication and interpersonal skills, able to present data clearly and professionally.

* Capacity to handle confidential information, ensuring compliance with policies and regulations.

* Advanced proficiency in Microsoft Office and other related software.

* In-depth experience working with database tools and providing technical recommendations to streamline processes.

* Flexible and adaptable to changing priorities, with the ability to meet deadlines in a fast-paced environment.

A small and growing consultancy who are delivering cutting-edge data solutions for high-profile clients, are now looking for a hands-on Data Engineer to join their talented delivery team.

This is a fantastic opportunity to work with a modern data stack - including Snowflake, dbt, AWS, Python, and SQL - on impactful projects that power reporting, automation, predictive analytics and Artificial Intelligence.

This role is fully remote, and is therefore open to candidates across the UK.

This role would be well-suited to someone with a self-starter mentality, who wants to be part of company that is growing and maturing whilst continually learning.

Key responsibilities:

* Designing and building robust data pipelines using SQL, dbt, and Python within Snowflake
* Developing scalable, testable, and maintainable code
* Collaborating with analytics, product, and client teams to deliver high-quality data solutions
* Supporting the development of data products like dashboards, APIs, and predictive models
* Driving automation and operational efficiency through data tooling
* Contributing to internal best practices and agile delivery processes

Experience required:

* Proven experience as a Data Engineer or Analytics Engineer
* Strong experience with Snowflake
* Hands-on experience with dbt
* Proficiency in Python and SQL
* Solid understanding of Git and development lifecycle best practices
* Experience integrating APIs or working with event/log data streams
* Ability to manage multiple priorities in a fast-paced environment
* Experience with AWS would be highly desirable
* An interest in AI

Benefits:

* Salary between £50-65,000 depending on experience



Please Note: This is role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.

Tenth Revolution Group (and Nigel Frank) are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, and the London Power BI User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at v.simpson@tenthrevolution.com