A Tenth Revolution Group Company

Your current job search

27 search results

For Permanent

Data Engineer - London - AWS - 70,000 + Benefits

England, London, City of London

  • £60,000 to £70,000 GBP
  • Engineer Role
  • Skills: AWS, Data, Python, SQL, Redshift, S3, Snowflake, Databricks, Data Engineer, Engineering, London, ETL, Ingestion, Glue, Lambda
  • Seniority: Mid-level

Job description

Data Engineer - London - AWS - Up to 70,000 + Benefits



Company Overview:

You will be working within global company who boast offices across the world - from London to Melbourne, Singapore to the US + many more in between! Within this multinational is a multitude of high level business who are all world leaders within their respective fields. The organisation celebrates successes with a positive and supportive working culture - and you will realise this first hand as this organisation take the well being of their employees very seriously, understanding that work-life balance is critical to performance and moral.

This is an exciting opportunity to work with a forward thinking company who offer their employers the chance to work with cutting edge tech, grow their skills with fully-costed training programs, maintain a healthy work-life balance with modern working arrangements - up to 3 days a week from home - as well as a comprehensive benefits package.



Role Overview:

As a Data Engineer, you will play a pivotal role in designing, developing, and maintaining data infrastructure. You will be responsible for building and optimising data pipelines, ensuring the seamless flow of data across various systems. Your expertise in AWS services, Python, and SQL will be crucial in managing and transforming large datasets to support our business needs.

Regarding project specifics in the works are plans to migrate and build out a data platform, making experience with migrations, as well as Snowflake or Databricks highly preferable. As you will be required to collaborate with technical and non-technical stakeholders, your ability to communicate effectively and work in a team-oriented environment will be key to your success in this role.



Requirements:

* 2.5+ Years Experience in Data Engineering
* Experience Working with AWS services
* Strong Python and SQL Skills
* Good Technical and Non-Technical Stakeholder Communication

Nice to have:

* Snowflake, Databricks, or Similar





Interviews are already underway with limited slots remaining, don't miss out on your opportunity to secure this amazing role!



Get in touch by contacting me at j.shaw-bollands@tenthrevolution.com or on 0191 338 6641!





AWS, Data, Python, SQL, Redshift, S3, Snowflake, Databricks, Data Engineer, Engineering, London, ETL, Ingestion, Glue, Lambda

New

Data Engineer

USA, Texas, Addison

  • $100,000 to $140,000 USD
  • Engineer Role
  • Skills: AWS, SQL, Apache Airflow, Azure, python, spark
  • Seniority: Mid-level

Job description

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:

*

Pipeline Engineering: Develop and maintain scalable ETL/ELT workflows to support data needs across analytics, operations, and business functions.
*

Infrastructure Design: Architect and fine-tune data platforms across cloud and hybrid environments for optimized access and performance.
*

Cross-Functional Collaboration: Partner with data scientists, analysts, engineers, and product teams to deliver reliable, actionable data solutions.
*

System Performance: Ensure systems are built with scale in mind, proactively managing performance and growth.
*

End-to-End Ownership: Manage the full data lifecycle-from ingestion through transformation and delivery-without handoffs or silos.
*

Data Quality & Compliance: Uphold data integrity, security, and traceability in line with internal and regulatory standards.
*

Innovative Problem Solving: Navigate evolving challenges with a solution-oriented mindset and flexible approach to tools and technologies.
*

Team Engagement: Contribute to a small, high-impact team where every voice counts and initiative drives progress.

What We're Looking For:

*

Education: A bachelor's degree in Computer Science, Engineering, or a related discipline (advanced degrees welcomed).
*

Professional Experience: Solid background in data engineering across data ingestion, transformation, and storage layers.
*

Technical Proficiency: Strong command of SQL and experience with at least one core technology (e.g., Python, Scala, Spark, Snowflake, AWS, etc.).
*

Adaptability: Comfortable working in changing technical landscapes and open to evolving tools and priorities.
*

Data Architecture Knowledge: Deep understanding of database systems, data modeling practices, and cloud-based infrastructure.
*

Workflow Tools: Experience with orchestration tools like Airflow, dbt, or comparable systems.
*

Nice to Have: Familiarity with business intelligence platforms such as Power BI, Tableau, or MicroStrategy.

Key Attributes:

*

Proactive and solution-focused, not afraid to take ownership.
*

Strong analytical and systems thinking skills with a practical mindset.
*

Clear communicator who can articulate technical ideas to various audiences.
*

Team player who can also thrive in independent settings.
*

Detail-oriented, reliable, and invested in the team's and company's success.
*

Agile and professional under pressure, with a flexible approach to shifting priorities.

Senior Machine Learning Engineer

USA, Texas, Dallas

  • $180,000 to $250,000 USD
  • Engineer Role
  • Skills: Sagemaker, Data Science, Machine Learning, LLMs, NLP, Azure Machine Learning Studio
  • Seniority: Senior

Job description

Tenth Revolution Group are working with a leading real estate firm with over 60 years of history in the space.



The organization are looking to add to a data-driven solutions team. Candidates for this role must come with a masters level degree from a field such as Data Science or similarly analytical specialism. An ability to demonstrate a deep understanding and successful track record in the Machine Learning world is essential to be successful in your application for this position. Particularly as it relates to the design, build and deployment of ML models.



Deep Learning and NLP (Natural Language Processing) are essential requirements for this position, alongside prior experience working hands-on with LLMs (Large Language Models), building advanced systems and RAG pipelines. An ability, and flexibility, of designing/implementing tailored Neural Network architectures that relate to specific situational cases. This all ties in with the organizations overall goal of solving problems and an advancement in it's Automated Intelligence capabilities.



Experience with Amazon Web Services and tools listed below are required:

* SageMaker
* Python
* SQL
* Snowflake
* Big Data Technologies



This is a role that is best suited to someone who shares the organizations passion for leading the way, and embracing, emerging technology trends such as Machine Learning, GenAI, Natural Language Processing and more in the Cloud space.



This is a permanent position, based in the organizations Dallas offices, with a hybrid work policy that requires 3 days per week on site.

Lead Quality Engineer - Gen AI

England, London, City of London

  • £70,000 to £85,000 GBP
  • Engineer Role
  • Skills: Quality Engineer, Engineering, GenAI, Gen AI, Generative AI, Artificial Intelligence, DevSecOps, QE, Testing
  • Seniority: Senior

Job description

Lead Quality Engineer - Gen AI - £85,000 + 10% - London - Hybrid



Company Overview:

My client is a global leader in the insurance industry, serving millions of customers worldwide. With strong financial foundations established over decades, their commitment to utilising innovative solutions and cutting-edge technologies is a key pillar of their recent success. They are also dedicated to ensuring the well-being and happiness of their employees through very flexible hybrid working patterns, as well as other amazing benefits, and a great company culture - over 4 out of 5 employees would recommend working here.



Role Overview:

As a Lead Quality Engineer you will play a major role in leading and contributing to continuous investment and growth across my clients platforms. You will establish Gen AI Quality Engineering capabilities through your knowledge, experience and ability to lead. You will be tasked with designing and evaluating these solutions, as well as assessing, tweaking and perfecting such processes.

This is an amazing opportunity to spearhead cutting-edge technological advancements with a major cooperation.



Requirements:

* Experience Leading and Growing a QE Team
* Generative AI Experience
* Strong Core Engineering Experience
* API Testing Experience



Benefits:

* Up to 10% Bonus
* Up to 14% Pensions Contribution
* 29 Days Annual Leave + Bank Holidays
* Free Company Shares



Interviews ongoing don't miss your chance to secure a role at the forefront of a digital revolution.



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















Quality Engineer, Engineering, GenAI, Gen AI, Generative AI, Artificial Intelligence, DevSecOps, QE, Testing

Data Engineer (m/w/d)

Germany, Nordrhein-Westfalen, Cologne

  • €70,000 to €100,000 EUR
  • Engineer Role
  • Skills: AI (artificial intelligence), Data Engineering, Data Science, Snowflake, Azure, DevOps, CI/CD, Databricks, ETL, RAG, Retrieval-Augumented Generation, Airflow, Dagster, Python, SQL, Microsoft Azure, AWS, Redshift, künstliche Intelligenz, Terraform, Docker, Kubernetes
  • Seniority: Mid-level

Job description

Position: Data Engineer (m/w/d)

Momentan suche Ich für ein Partnerunternehmen (Endkunde) einen Data Engineer (m/w/d).

Ihre Aufgaben:

Daten-Infrastruktur optimieren: Sie verbessern und skalieren unsere Cloud-Datenplattform mit Technologien wie Azure, Databricks und Snowflake.

Betrieb & Sicherheit gewährleisten: Sie sorgen für eine stabile, leistungsfähige und sichere Datenplattform, inklusive ETL-Prozessen und KI-Modelle.

Automatisierung vorantreiben: Sie entwickeln und optimieren ETL-Pipelines und CI/CD-Prozesse für effizientere Abläufe.

Neue Technologien einsetzen: Sie unterstützen innovative Lösungen wie Retrieval-Augmented Generation (RAG) und Vektordatenbanken.

Dokumentation & Best Practices: Sie erstellen und pflegen technische Dokumentationen und Architektur-Blueprints.

Ihr Profil:

Erfahrung mit Cloud-Datenplattformen: Sie haben bereits mit modernen Datenplattformen gearbeitet und kennen sich mit Sicherheit, Netzwerken und Authentifizierung aus.

Automatisierung & Infrastruktur: Sie haben Erfahrung mit CI/CD-Pipelines, Terraform sowie Container-Technologien wie Docker und Kubernetes.

Daten-Tools: Sie kennen sich mit Databricks aus, idealerweise auch mit Snowflake und Orchestrierungstools wie Airflow oder Dagster.

Programmierung: Sie beherrschen Python und setzen es für datengetriebene Anwendungen ein.

Ausbildung: Sie haben ein Studium in Informatik, Datenwissenschaft oder einem verwandten Bereich abgeschlossen.

Sprachen: Sie sprechen fließend Deutsch (mind. C1) und Englisch.

Das wird ihnen geboten:

- Ein sicherer Arbeitsplatz mit unbefristetem Festanstellungsvertrag in einer wachstumsstarken Branche

- Ein attraktives Gehalt sowie eine betriebliche Altersvorsorge

- Ein Mitarbeitenden-Restaurant

- Ein Hybrides Arbeitsmodel

- Gelebter Teamgeist, flache Hierarchien und kurze Entscheidungswege

- Genügend Freiraum, um Verantwortung zu übernehmen und die eigenen Fähigkeiten aktiv einzubringen

Bewerbung:

Um Dich auf diese Stelle zu bewerben, sende Deinen vollständigen Lebenslauf unter Angabe Deiner Gehaltsvorstellung an f.sarwar@tenthrevolution.com . Bei weiteren Fragen stehen wir Dir auch telefonisch unter 0221 6503 3904 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/

New

Data Engineer

USA, Texas, Dallas

  • $80,000 to $135,000 USD
  • Engineer Role
  • Skills: AWS, SQL, Apache Airflow, Azure, python, spark
  • Seniority: Mid-level

Job description

Position Title: Data Engineer

Job Overview:

We're looking for a versatile and proactive Data Engineer to join our growing team. This role involves designing, building, and maintaining scalable data pipelines and infrastructure that power analytics and reporting across the organization. You'll work closely with technical and non-technical stakeholders to move data efficiently, ensure system reliability, and support our long-term data strategy. The ideal candidate is agile, collaborative, and able to think critically through technical challenges in a fast-evolving environment.

Key Responsibilities:

* Pipeline Development & Maintenance: Build and maintain reliable, scalable ETL/ELT pipelines to support analytics, operations, and reporting.

* Data Infrastructure: Design and optimize data architecture across cloud and on-prem systems, enabling efficient data access and storage.

* Collaboration: Work cross-functionally with analysts, data scientists, and product teams to deliver high-quality data solutions.

* Performance & Scalability: Monitor and improve system performance, supporting infrastructure that's built for growth.

* Versatility in Execution: Own end-to-end data workflows, from ingestion to transformation to delivery-no silos here.

* Data Governance & Quality: Ensure data accuracy, lineage, and security, maintaining compliance with internal and external standards.

* Problem Solving: Tackle evolving technical challenges using a tech-agnostic mindset-emphasizing clarity, quality, and collaboration.

* Team Contribution: While independent and self-directed, you'll be part of a small, dynamic team where your voice matters and your initiative shapes outcomes.

Qualifications:

* Education: Bachelor's degree in Computer Science, Engineering, or a related field (graduate degree a plus).

* Experience: Experience in data engineering, working across ingestion, transformation, and storage layers.

* Proven experience with SQL and at least one major language or platform (e.g., Python, Scala, Spark, Snowflake, AWS, etc.).

* Comfortable working in an evolving tech environment-open to learning and adapting as tools and priorities shift.

* Strong understanding of database systems, data modeling, and cloud architecture.

* Familiarity with orchestration tools (e.g., Airflow, dbt, or similar).

* Bonus: experience working with reporting or BI tools like Power BI, Tableau, or MicroStrategy.

Skills & Competencies:

* Takes initiative and brings solutions, not just problems.

* Strong analytical thinking and a pragmatic approach to building systems.

* Excellent communication skills-able to explain complex processes clearly to both technical and non-technical audiences.

* Collaborative and team-oriented, but capable of working independently when needed.

* Detail-oriented, dependable, and eager to help shape a growing data function.

* Demonstrates flexibility and professionalism, especially in high-paced, shifting environments

Senior Machine Learning Engineer

USA, Texas, Houston

  • $180,000 to $250,000 USD
  • Engineer Role
  • Skills: Sagemaker, Data Science, Machine Learning, LLMs, NLP, Azure Machine Learning Studio
  • Seniority: Senior

Job description

Tenth Revolution Group are working with a leading real estate firm with over 60 years of history in the space.



The organization are looking to add to a data-driven solutions team. Candidates for this role must come with a masters level degree from a field such as Data Science or similarly analytical specialism. An ability to demonstrate a deep understanding and successful track record in the Machine Learning world is essential to be successful in your application for this position. Particularly as it relates to the design, build and deployment of ML models.



Deep Learning and NLP (Natural Language Processing) are essential requirements for this position, alongside prior experience working hands-on with LLMs (Large Language Models), building advanced systems and RAG pipelines. An ability, and flexibility, of designing/implementing tailored Neural Network architectures that relate to specific situational cases. This all ties in with the organizations overall goal of solving problems and an advancement in it's Automated Intelligence capabilities.



Experience with Amazon Web Services and tools listed below are required:

* SageMaker
* Python
* SQL
* Snowflake
* Big Data Technologies



This is a role that is best suited to someone who shares the organizations passion for leading the way, and embracing, emerging technology trends such as Machine Learning, GenAI, Natural Language Processing and more in the Cloud space.



This is a permanent position, based in the organizations Houston office, with a hybrid work policy that requires 3 days per week on site.