A Tenth Revolution Group Company

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For Permanent and Contract, Engineer

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

    England, London, City of London

    • £70,000 to £90,000 GBP
    • Engineer Role
    • Skills: Snowflake, DBT, SQL, Airflow, AWS, Engineer, DWH, Data Warehouse, Data Warehousing, Architecture, London
    • Seniority: Senior

    Job description

    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

    Principal Solutions Architect (MLOps) - US Remote

    USA, Texas

    • US$200,000 to US$225,000 USD
    • Architect Role
    • Skills: AWS, Snowflake, GCP, AI, ML, Machine Learning, MLOps, Principal Solutions Architect, PSA, Senior Solutions Architect, Remote, Data Engineer, ML Engineer, Machine Learning Engineer, USA
    • Seniority: Senior

    Job description

    Remote Role

    A leading organization at the forefront of modern data solutions is seeking a Principal Solutions Architect specializing in Machine Learning. Partnering with major cloud providers such as AWS, Azure, GCP, and Snowflake, their team helps enterprises navigate their most complex data challenges with innovative and scalable solutions.

    The company fosters a vibrant culture rooted in curiosity, ownership, and mutual trust. Despite their rapid growth, they maintain an engaging, flexible environment focused on delivering excellence while supporting personal and professional development.



    Key Highlights:

    * Multiple-time Partner of the Year with top cloud platforms
    * 600+ advanced cloud certifications (AWS, Azure, Snowflake, and more)
    * Recognized as a best place to work across multiple regions



    Role Overview: In this role, you will lead the architecture and delivery of advanced AI/ML solutions, while simultaneously cultivating client relationships and uncovering new growth opportunities. This position demands a rare blend of technical leadership, client advocacy, and strategic thinking.



    Primary Responsibilities:

    Technical Leadership & Delivery:

    * Design end-to-end AI/ML solutions ensuring scalability, robustness, and business alignment
    * Lead teams of engineers and data scientists to build sophisticated ML platforms, pipelines, and products
    * Articulate the business impact and ROI of machine learning initiatives to diverse audiences
    * Mentor team members on emerging best practices and industry standards
    * Stay current on evolving AI/ML tools and methodologies to shape future solutions

    Client Engagement & Account Development:

    * Forge strong client relationships to understand their AI/ML vision and translate it into actionable roadmaps
    * Present compelling technical strategies that drive client adoption and success
    * Identify opportunities for additional client value through expanded AI/ML solutions
    * Lead responses to RFIs and RFPs, emphasizing innovative and results-driven approaches



    Required Qualifications:

    * Extensife experience in AI/ML architecture, software engineering, or data science
    * Significant leadership experience in a consulting environment
    * Bachelor's degree in Computer Science, Engineering, or related field
    * Strong expertise deploying machine learning models in production environments
    * Demonstrated success in account growth, solution pre-sales, and proposal development
    * Deep knowledge of AI/ML ecosystems (AWS, GCP, Azure, Databricks, Vertex AI, SageMaker)
    * Proficient in Python, Scala, Java, or other modern programming languages
    * Experience with building scalable data pipelines and API/web server development
    * Full software development lifecycle experience



    Preferred Skills:

    * Master's degree or other advanced qualifications
    * Contributions to open-source AI/ML projects
    * Familiarity with ML libraries (TensorFlow, Keras, scikit-learn, h2o, etc.)
    * Experience with Docker, Kubernetes, MLflow, and Sagemaker/Azure ML



    Benefits:

    * Remote-first work environment
    * Award-winning, collaborative culture emphasizing creativity and autonomy
    * Competitive compensation and benefits, including 4 weeks PTO plus holidays
    * Ongoing investment in advanced training and professional certifications



    Those interested should apply to this advertisement with their resume & contact details. Candidates are being shortlisted this week.

    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/

    AWS Site Reliability Engineer

    Australia, New South Wales, Sydney CBD

    • A$140,000 to A$160,000 AUD
    • DevOps Role
    • Skills: AWS
    • Seniority: Mid-level

    Job description

    Tenth Revolution Group is working with a rapidly expanding tech scale-up that is seeking a Sydney-based Site Reliability Engineer (SRE) to join their dynamic team. This role is pivotal in ensuring the reliability, scalability, and performance of their AWS cloud infrastructure while driving automation and operational excellence.

    About the Role:
    As a Site Reliability Engineer, you will be responsible for enhancing system reliability, performance, and efficiency through automation, monitoring, and proactive incident response. You will work closely with development teams to optimise infrastructure and streamline operations for a high-availability platform.

    Your primary responsibilities will include:

    *

    Designing, building, and maintaining highly available and scalable cloud infrastructure, proactively identifying and resolving reliability risks.
    *

    Developing and maintaining automation scripts and tools to improve efficiency, reduce manual intervention, and enforce best practices.
    *

    Establishing and refining incident response processes, conducting root cause analysis, and implementing solutions to minimise downtime.
    *

    Implementing and managing robust monitoring and alerting systems to provide real-time insights into system health and performance.
    *

    Developing and maintaining dashboards, alerts, metrics, logs, traces, and automated monitoring tools such as Prometheus, Grafana, Datadog, New Relic, ELK Stack, or AWS CloudWatch.
    *

    Ensuring security best practices are followed, managing access controls, and maintaining compliance with industry standards.
    *

    Working cross-functionally with DevOps, software engineering, and security teams to refine processes, introduce innovative solutions, and improve system resilience.

    About You:

    *

    4+ years of experience in Site Reliability Engineering, DevOps, or cloud infrastructure management
    *

    Strong expertise in AWS services (ECS, RDS, Lambda, S3, CloudFormation)
    *

    Hands-on experience with AWS networking (VPC, Load Balancers, Peering Links)
    *

    Proficiency in Infrastructure as Code (Terraform, CloudFormation, or Ansible)
    *

    Experience with CI/CD pipelines, monitoring tools (Prometheus, Grafana, Datadog), and scripting (Shell, Python, or Go)
    *

    Strong problem-solving skills with a proactive approach to incident resolution and performance tuning
    *

    Excellent communication and collaboration skills, with the ability to work in a fast-paced, dynamic environment

    *

    AWS certifications (e.g., AWS Certified DevOps Engineer, Solutions Architect)

    Why You'll Love This Role:

    *

    Be part of a cutting-edge company driving innovation in a critical industry
    *

    Play a key role in ensuring platform reliability, scalability, and security
    *

    Work in a collaborative, DevOps-driven environment that values learning and growth
    *

    Contribute to mission-driven projects that make a real-world impact



    This position is interviewing now and is available for an immediate start.

    *Please mention your VISA Status/Working Rights in your Resume*



    Olivia Beyer

    (03) 9088 3704

    o.beyer@tenthrevolution.com

    New

    Cloud Data Engineer (w/m/d) - in Berlin

    Germany, Berlin

    • €60,000 to €85,000 EUR
    • Developer Role
    • Seniority: Mid-level

    Job description

    Wir suchen für den Fachbereich Data & Analytics von einem Kunden in ganz Deutschland:

    Cloud Data Engineer (w/m/d)

    Anforderungen:

    - Erfahrung mit Cloud Analystics (Azure, AWS, GCP) oder Big Data (Haddop, Kafka)
    - Know-How in der Softwareentwicklung mit Java, Scala oder Python
    - Von Vorteil: Erfahrung mit Buildtools und CI/CD Pipelines
    - Von Vorteil: gute Kenntnisse von verschiedenen Cloud-Strategien und lac Technologien
    - Verhandlungssicheres Deutsch- und gute Englischkenntnisse

    Worum es geht:

    Das Unternehmen ist einer der führenden IT-Dienstleister im deutschsprachigen Raum. Mit rund 6.800 Mitarbeitenden unterstützt das Unternehmen Kunden aus verschiedenen Branchen bei der Digitalen Transformation.

    Das Competence Center Data Engineering ist verantwortlich für die Umsetzung komplexer Big Data und Cloud Analytics Projekte für namhafte große Kunden. Als Data Engineer bist du Teil eines innovativen und stetig wachsenden Software Engineering Teams. Du profitierst von erfahrenen Kolleginnen und Kollegen und absolvierst ein spezielles Ausbildungsprogramm, um dein Wissen auszubauen und zu vertiefen.

    Deine Aufgaben als Cloud Data Engineer:

    * Implementieren von Data Pipelines, Data Ingest und Data Processing
    * Engineering von Container basierten Analytics Plattformen und effizienten CI/CD Pipelines
    * Projektbasierte Umsetzung von Business Anforderungen mit Analytics Services von AWS, Azure und GCP oder etablierten On Premises Big Data Technologien
    * StetigeWeiterbildung in Technologienausdem Cloud- und Software Engineering-Umfeld

    Dafür wird dir geboten:

    * 30 Tage Urlaubstage im Jahr
    * Zeitliche und örtliche Flexibilität (bundesweit remote möglich + 2 - 4 Monate pro Jahr Remote-Arbeit aus dem (EU-)Ausland möglich je nach Aufgabenbereiche
    * Offene Unternehmenskultur, dynamisches Arbeitsumfeld und moderner Führungsstil
    * Spannende abwechslungsreiche Projekte im Cloud-Umfeld mit unterschiedlichen Industrien
    * Projektzuweisung, die deiner Kapazität und deinem Interesse entspricht
    * Etabiliertes Umfeld, in dem du dich technisch und professionell weiterentwickeln kannst
    * Unterstützung deiner persönlichen und fachlichen Weiterentwicklung mit einem breiten Angebot von Weiterbildungen und Zertifizierungen
    * Patenschaft von fachlichen Kolleg*innen und solides On-Boarding Programm
    * Freiraum für eigene Kreativität und Entwicklung

    Hiring Process:

    1st Gespräch mit dem Fachbereich - 2nd Gespräch mit dem Fachbereich - Angebot/Absage

    Für denselben Geschäftsbereich suchen wir ebenfalls nach DataOps Engineers, Data Architects und Consultants in ganz Deutschland. Bewerbe dich gerne bei uns, auch wenn du nicht alle Anforderungen erfüllen kannst.

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

    Data Engineer - Farmers Branch

    USA, Texas, Farmers Branch

    • US$115,000 to US$140,000 USD
    • Engineer Role
    • Skills: AWS, SQL, Apache Airflow, Azure, python, spark, ML
    • 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.

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