to build and deliver high quality, scalable and secure solutions Implementations on and migration to Cloud services on at least one of the hyper-scale Cloud platforms - Microsoft Azure, Google Cloud, AWS Strong understanding and experience of quality engineering techniques including test-driven development (TDD), Behaviour-driven development (BDD), integration testing and performance testing Some experience with AI tools (one More ❯
distributed group tackling novel R & D problems that directly impact customers. OUR TECHNOLOGY STACK: Python • Agentic tools (Autogen, Semantic Kernel, LangChain) • SQL • MongoDB • Third-party LLM APIs • LiteLLM • MLflow • Google Cloud Platform • Docker • PyTorch • Hugging Face Transformers • SPARQL • Kubernetes WHAT YOU WILL BE DOING AT BEAMERY Join us at the forefront of transforming how organisations manage talent and plan their More ❯
data technologies such as Spark, Kafka, and Flink for distributed data processing and analytics. Cloud Platforms: Deploy and manage data solutions on cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP), leveraging cloud-native services for data storage, processing, and analytics. Data Quality and Governance: Implement and oversee data governance, quality, and security measures. Monitoring, Optimization and Troubleshooting More ❯
to languages such as: • C++, Java, Python, JavaScript, C# Systems & Tools: Knowledge of or experience with any of the following: Linux/Unix operating systems Cloud Technologies (AWS, Azure, Google Cloud) DevOps tools (e.g., Docker, Kubernetes) Version Control Systems (e.g., Git) Machine Learning/AI technologies Software Development: Understanding of software development methodologies, including Agile and DevOps practices. Networking & Cybersecurity More ❯
to languages such as: • C++, Java, Python, JavaScript, C# Systems & Tools: Knowledge of or experience with any of the following: Linux/Unix operating systems Cloud Technologies (AWS, Azure, Google Cloud) DevOps tools (e.g., Docker, Kubernetes) Version Control Systems (e.g., Git) Machine Learning/AI technologies Software Development: Understanding of software development methodologies, including Agile and DevOps practices. Networking & Cybersecurity More ❯
Golang. Experience with columnar, analytical cloud data warehouses (e.g., BigQuery, Snowflake, Redshift) and data processing frameworks like Apache Spark is essential. Experience with cloud platforms like AWS, Azure, or Google Cloud. Strong proficiency in designing, developing, and deploying microservices architecture, with a deep understanding of inter-service communication patterns. Extensive experience utilizing a remote procedure call (RPC) framework is essential More ❯
solving skills and attention to detail. * Strong communication and teamwork skills. *Preferred Qualifications:* Master's degree in Computer Science or related field. Experience with other cloud platforms (e.g., Azure, Google Cloud). Knowledge of front-end technologies such as Angular or React. Experience with DevOps practices and tools. Proficiency in Python and experience with Linux/Unix environments. #JUL2025 *Your More ❯
solving skills and attention to detail. Strong communication and teamwork skills. Preferred Qualifications: Master's degree in Computer Science or related field. Experience with other cloud platforms (e.g., Azure, Google Cloud). Knowledge of front-end technologies such as Angular or React. Experience with DevOps practices and tools. Proficiency in Python and experience with Linux/Unix environments. Your Education More ❯
integration testing and when to use them. You are familiar with trunk-based development in git. Experience with back-end web application frameworks (Django, FastAPI, etc) NICE TO HAVE Google Cloud (Cloud Functions, AppEngine, PubSub, Stackdriver, etc.) Docker, Kubernetes Typescript, NodeJS, React, Webpack etc. Java, C# Experience within the advertising/media agency space. Terraform If you are ready to More ❯
of robust cybersecurity systems. Training and Development: Throughout this programme, you'll work towards acquiring certifications in cutting-edge technologies, such as AWS (Amazon Web Services), Microsoft Azure, or Google Cloud. You will also receive comprehensive training in areas like data analytics, cybersecurity, cloud computing, and business intelligence tools. These will be supported by practical, on-the-job learning and More ❯
data technologies such as Spark, Kafka, and Flink for distributed data processing and analytics. Cloud Platforms: Deploy and manage data solutions on cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP), leveraging cloud-native services for data storage, processing, and analytics. Data Quality and Governance: Implement data quality checks, validation processes, and data governance policies to ensure accuracy More ❯
migration, data platform setup, end-to-end analytics & reporting setup, data warehouse setup (incl. modeling), data activation, data quality, data governance, real-time reporting; Hands on experience on GCP (Google Cloud Platform) environment; preferably on most of the following: BigQuery, Cloud Composer, Cloud Run, Cloud Monitoring & Logging, Dataplex, Beam, Tentacles and Pub/Sub; Fluent Python, SQL skills with real More ❯
of Excellence drives performance solutions across several channels including social, social, programmatic, commerce and affiliates. We have 30 different nationalities in our teams and work closely with teams from Google, Meta, TradeDesk and Amazon to deliver innovative solutions that helps deliver business results to our clients. Job Description About the Role We are seeking a passionate and experienced Technical Engineering More ❯
/quality engineering; experience of test automation will be beneficial Process Automation, BPM and Digital Platforms, e.g. Pega Cloud technology (knowledge of any or all of Azure, AWS and Google would be beneficial) Experience of handling information security and privacy challenges Interest and awareness in emerging technologies Experience of vendor packages. An appreciation of Artificial Intelligence and Machine Learning Academic More ❯
/quality engineering; experience of test automation will be beneficial Process Automation, BPM and Digital Platforms, e.g. Pega Cloud technology (knowledge of any or all of Azure, AWS and Google would be beneficial) Experience of handling information security and privacy challenges Interest and awareness in emerging technologies Experience of vendor packages. The following are of particular interest: An appreciation of More ❯
ETL Tools: AWS Glue, Azure Data Factory, Talend, and Apache Airflow. AI & Machine Learning: Frameworks: TensorFlow, PyTorch, Scikit-learn, Keras, and MXNet. AI Services: AWS SageMaker, Azure Machine Learning, Google AI Platform. DevOps & Infrastructure as Code: Containerization: Docker and Kubernetes. Infrastructure Automation: Terraform, Ansible, and AWS CloudFormation. API & Microservices: API Development: RESTful API design and GraphQL. Microservices Tools: Istio, Envoy More ❯
Digital Analytics Consultant (Google Analytics, Adobe Analytics, SQL, Python) We are seeking a Data Analytics Manager with extensive experience in consultancy and data analytics to work with existing clients in the Retail and Healthcare sectors for a rapidly growing enterprise-level agency. The company: This company has experienced exponential growth through excellent client relations with major brands, transforming and implementing … and managing client relationships. You will assess future needs and identify how the agency can best support clients. There is also a hands-on component involving analytical tools like Google Analytics for project work. Your Skills and experience: Over 5 years in a commercial analytics environment More than 3 years in client reporting and consultancy Strong technical background in web … analytics tools such as Google Analytics and Adobe Analytics Excellent communication skills and ability to understand business needs Good knowledge of business strategy If you thrive in a fast-paced, client-facing environment working on enterprise projects, this role offers a blend of technical implementation and consultancy, providing opportunities for career growth and skill development. The company offers flexible hours More ❯
and our clients, to consult, manage and successfully execute analytics and marketing measurement projects Plan, validate and execute measurement standards and implementation using analytics, tracking technologies, tag management (e.g. Google Tagmanager, dataLayer, server side, etc) and consent management systems (e.g. OneTrust, Cookiebot, etc) Expert user of Google Cloud Platform and adjacent analytics connectors, APIs and platforms. Develop and manage data … and presentation of best practice and learnings About You You have demonstrable and solid experience as an analytics architect working with various analytics and tracking technologies (Meta, TikTok, YouTube (Google Ads), Affiliates, Amazon, Mobile Marketing Platforms etc) and Google Cloud Platform. You have consulted on, scoped, developed, validated and implemented complex analytics and data applications and pipelines on GCP for … metrics as well as business objectives. You have hands-on and advanced experience working with Python, SQL and Javascript, an expert implementation specialist using data from various analytics sources (Google Analytics, Tagmamager, Adobe, Amazon etc) and produce meaningful, insightful campaign reports using Looker Studio and BigQuery. You have an advanced grasp of Python and frameworks like Django or similar, as More ❯
in a similar role. Strong analytical mindset with a passion for uncovering insights. Skilled in SQL and data visualisation (Looker Studio, Tableau, Power BI). Familiarity with Amplitude/Google Analytics/Adobe Analytics. Strong Excel/Google Sheets skills. Experience in commercial analysis (target building, forecast setting, promotional analysis). Strong communication skills. Awareness of digital marketing. A Level More ❯
in a similar role. Strong analytical mindset with a passion for uncovering insights. Skilled in SQL and data visualisation (Looker Studio, Tableau, Power BI). Familiarity with Amplitude/Google Analytics/Adobe Analytics. Strong Excel/Google Sheets skills. Experience in commercial analysis (target building, forecast setting, promotional analysis). Strong communication skills. Awareness of digital marketing. A Level More ❯
products, APIs, frameworks and world-leading deep learning NLP technology . Our tech stack: Programming language: Python Frameworks: FastAPI, Flask, Django Databases and data stores: PostgreSQL, Redis Cloud providers: Google Cloud Platform, Microsoft Azure Events and asynchronous tasks: Celery, NATS, Argo Workflows We work agile in sprints and iteratively deliver towards our milestones and goals. We do code reviews and … reliable data management. Well-versed in software engineering essentials such as unit testing, CI/CD, integration testing, and ensuring code reliability and reproducibility. Familiarity with cloud providers (e.g., Google Cloud, Microsoft Azure) and containerization tools like Docker is a big advantage. You are highly motivated to deliver exceptional outcomes for our customers and keep the big picture in mind More ❯
technical and non-technical stakeholders alike. The Head of Data Engineering & Insight will work within a modern, cloud-based BI ecosystem , including: Data Integration: Fivetran , HVR, Databricks , Apache Kafka, Google BigQuery , Google Analytics 4 Data Lake & Storage: Databricks Delta Lake, Amazon S3 Data Transformation: dbt Cloud Data Warehouse: Snowflake Analytics & Reporting: Power BI, Excel, Snowflake SQL REST API Advanced Analytics More ❯
and deployment technologies (virtualisation, CI tools like Jenkins, configuration management with Ansible, containerisation with Docker, Kubernetes) Data visualization skills (JavaScript preferred) Experience deploying solutions on Cloud platforms (AWS, Azure, Google Cloud) including provisioning tools (Terraform) Strong interpersonal skills for client engagement and requirement gathering Ability to translate business needs into technical solutions Experience in designing Data Science projects, planning, and More ❯
do with digital data and technology; building innovative models on top of the latest open source tools, as well as making use of cutting edge AI APIs from OpenAI, Google, Microsoft and AWS. You'll regularly share your knowledge of the rapidly changing and exciting world of AI to ensure Curve benefits from your ongoing research. Additionally, you'll work More ❯
top law firms, financial institutions, and multinational corporations such as Allen & Overy, Dentons, and Deloitte. We are backed by prominent investors and VCs, including Octopus Ventures, Raine Ventures, Microsoft, Google for Startups, and Nick Jenkins (founder of Moonpig and former Dragon). What we offer Competitive Salary We offer a highly competitive salary that reflects your skills, experience, and contributions. More ❯
