101 to 125 of 349 Google-Cloud-Platform Jobs in Slough

onsite). Salary: £75,000 - 85,000. Your Role: Building and maintaining features across the backend (Python, Java or NodeJS). Working across all three cloud platforms (AWS, GCP, Azure) and deploying applications in a cloud environment. Work closely with senior engineers to design, build, and maintain back-end services and systems that support AI-powered products, all More ❯

years of experience in data engineering, BI development, or analytics. Background in asset management, hedge funds, or investment banking is advantageous. Nice to Have: Experience with Azure, AWS, or GCP cloud platforms. Familiarity with data governance frameworks and AI privacy/safety. Exposure to ESG data and reporting processes. More ❯

years of experience with Java or Python (C++ a plus) Familiarity with databases (e.g., SQL Server, Postgres) Familiarity with developing, testing, or deploying with cloud providers (e.g., AWS, GCP, Azure) Experience using version control software (e.g., Git) Curiosity and a desire to solve challenging problems Strong programming ability A collaborative mindset and eagerness to give and receive feedback Excellent More ❯

More than 5 years of experience in Big Data implementation projects Experience in the definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP), Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc. Past experience in Data Engineering and data quality tools (Informatica, Talend, etc.) Previous involvement in working in a Multilanguage More ❯

in Python, TensorFlow, or PyTorch Experience with machine learning algorithms and frameworks Strong understanding of data pre-processing, feature engineering, and model evaluation Familiarity with cloud services (AWS, GCP, Azure) and their AI/ML offerings Knowledge of natural language processing (NLP) and computer vision is a plus Experience 3+ years in AI, machine learning, or data science roles. More ❯

learning, time series forecasting, deep learning, and generative AI. Strong programming skills in Python and SQL; experience with ML frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP). Commercially minded, with the ability to connect technical solutions to business value. Experience in financial services, fintech, or trading environments is highly desirable. Please send profiles to joflynn@nscg.com More ❯

and reason about scale, latency, and trade-offs Comfortable building from zero — greenfield work doesn’t scare you; in fact, you prefer it Experienced with cloud infrastructure — AWS, GCP, or similar; IaC (Terraform, Pulumi, etc.) is a plus Competent with databases and data modeling — SQL and NoSQL, designing schema for scale Comfortable writing tests and deploying production systems — you More ❯

Candidate Profile 1+ years’ experience in a data-related role (Analyst, Engineer, Scientist, Consultant, or Specialist) Experience with technologies such as Python, SQL, Spark, Power BI, AWS, Azure, or GCP Strong analytical and problem-solving skills Comfortable working directly with clients and stakeholders Excellent communication and teamwork abilities Must hold active SC or DV Clearance More ❯

Candidate Profile 1+ years’ experience in a data-related role (Analyst, Engineer, Scientist, Consultant, or Specialist) Experience with technologies such as Python, SQL, Spark, Power BI, AWS, Azure, or GCP Strong analytical and problem-solving skills Comfortable working directly with clients and stakeholders Excellent communication and teamwork abilities Must hold active SC or DV Clearance More ❯

for a hands-on platform engineer to help design, build, and scale the core systems of their trading platform. You'll take ownership of infrastructure on Google Cloud Platform, manage Kubernetes deployments, and expand their environment using Terraform and infrastructure-as-code best practices. The role also involves contributing to backend development in Python with PostgreSQL More ❯

of Engineering transitioning up to VP — with real ownership of people, platforms, and delivery. Excellent hands-on technical foundation: Python , distributed systems, cloud platforms (AWS/Azure/GCP), and modern architectural patterns. Proven track record delivering scalable SaaS or AI-enabled platforms. Strong problem-solving mindset with the ability to set engineering standards and processes. Exceptional communication and More ❯

to have: Immediate availability Background in Infrastructure to understanding concepts such as Networking, Firewalls and Security Previous experience of deploying Virtual Machines, Data Lakes, Data vaults Some exposure to GCP and it's AI capabilities Scripting knowledge of Powershell/Bash/Python Awareness of operational challenges If you're interested in this role, click 'apply now' to forward an More ❯

Go, or similar) for automation and API integration. ✅ Knowledge of observability tooling – Prometheus, Grafana, ELK, or Datadog. 🎁 Bonus: experience with ElasticSearch , MySQL , or SQL Server , plus exposure to AWS , GCP , or Azure . Why This Role ✨ Greenfield impact – build database-as-a-service capabilities from the ground up. 🤝 Cross-functional collaboration – work with talented engineers across multiple European locations. 🚀 Automation More ❯

/SAM, SPM, HR, CSM, etc.) Ability to demonstrate advanced scripting and integration skills – JavaScript, SQL, API Web Services Experience integrating ServiceNow with Cloud Infrastructure (e.g AWS, Azure, GCP) Security Clearance is desirable, or the ability to obtain SC clearance is required. What’s in it for you At Accenture in addition to a competitive basic salary, you will More ❯

Strong proficiency in Python (or Scala/Java) and SQL Deep experience with data pipeline orchestration tools (Airflow, dbt, Dagster, Prefect) Strong knowledge of cloud data platforms (AWS, GCP, or Azure) and data warehousing (Snowflake, BigQuery, Redshift) Hands-on experience with streaming technologies (Kafka, Kinesis, or similar) Solid understanding of data modelling, governance, and architecture best practices Familiarity with More ❯

Full Stack Software Engineer Strong proficiency with 1 of the following languages (multiple is a bonus!); Golang, Java, .NET or C Experience with cloud platforms e.g. AWS, Azure, GCP - Google Cloud Solid grasp of CI/CD practices, unit testing and Kubernetes Could come from roles like Back End Engineer, Back End Developer or Fullstack Engineer, They More ❯

Software Engineer experience Exceptional Go/Golang skills Experience working across low-latency and zero trust platforms Experience across more than 1 cloud platform (AWS, Azure and GCP), and designing microservice architectures on those platforms Proven track record designing systems that integrate multiple 3rd party API's Educated to degree level or equivalent experience This is a permanent More ❯

mentoring others. Familiarity with document processing, NLP, or knowledge-graph-style systems. Previous exposure to enterprise integrations or SaaS products. Comfort working with cloud-native infrastructure (e.g. AWS, GCP, Docker). Why Join Deep ownership and autonomy — direct impact on product and strategy. High-trust, intellectually honest culture. Competitive comp and equity with strong growth potential. Opportunity to work More ❯

Experience leading multidisciplinary data teams in consulting or enterprise environments. Excellent communication skills with technical and non-technical stakeholders. Desirable: Experience with other modern data platforms (Databricks, Azure, AWS, GCP). Experience with platform observability and CI/CD for data platforms. Hands-on experience with tools like dbt, Fivetran, Matillion, or Airflow. Experience supporting pre-sales activities in More ❯

experience with workflow orchestration tools (Temporal, Dagster) Comfortable working with and improving generated code Experience with CI/CD pipelines, Docker, and cloud platforms (Azure/AWS/GCP) Understanding of modern software architecture patterns Disclaimer: Research indicates that men will apply to a role when they only meet 50-60% of the descriptions, however, when looking at women More ❯

scale. Deep understanding of metadata modeling, lineage capture , and data governance frameworks (GDPR, CCPA, HIPAA). Proficiency in APIs, RESTful services, automation , and cloud data ecosystems (AWS, Azure, GCP). Strong communication and stakeholder engagement skills — translating complex technical concepts into business outcomes. 💡 Bonus Points For Experience with semantic knowledge graphs , RDF/SPARQL , and ontology/taxonomy modeling More ❯

alignment optimisation). Solid software engineering fundamentals - version control, CI/CD, and production-grade model deployment. Experience working in cloud-native or high-performance compute environments (AWS, GCP, Docker, Kubernetes). A curiosity for foundational research and a desire to work on systems that push beyond the current limits of LLMs. Why Join Be part of a core More ❯

automation into our data infrastructure. Lead operational AI initiatives, including the development of machine learning models for predictive analytics. Technical Skills: Proficiency in cloud platforms (Azure, AWS, or GCP) and data processing services. Advanced skills in Power BI, including DAX, Power Query, and data modelling. Strong programming abilities in Python, SQL, and/or Scala. Expertise in ETL/ More ❯

Architect in a Technical Modernisation Programme. Ideally you will have worked in the FMCG/Marketing or Consumer products industry Strong knowledge of cloud platforms (Azure, AWS, or GCP), microservices, APIs, and DevOps practices. Ability to translate complex business requirements into robust technical solutions Excellent stakeholder engagement and communication skills Experience with enterprise integration, data architecture, and security frameworks More ❯

and nurture a culture of ownership, innovation, and continuous improvement What You’ll Bring Strong experience with TypeScript, Node.js, and React Solid background in Python and cloud platforms (GCP/AWS) Proven track record of leading small, high-performing teams Experience working in startups or fast-paced product environments Bonus: experience with AI/ML , AdTech , MarTech , or analytics More ❯