with a focus on building scalable data systems and platforms. Expertise in modern data tools and frameworks such as Spark, dbt, Airflow, Kafka, Databricks, and cloud-native services (AWS, GCP, or Azure) Understanding of data modeling, distributed systems, ETL/ELT pipelines, and streaming architectures Proficiency in SQL and at least one programming language (e.g., Python, Scala, or Java) Demonstrated More ❯
Russell Group University Nice to have skills: Atlassian knowledge - Bitbucket, JIRA Artifact storage using Artifactory Octopus Deploy Static analysis tools e.g. SonarQube Control-M Cloud experience (Azure, AWS or GCP) VMware (vSphere) and SAN experience More ❯
infrastructure and production workflows. Strong technical foundation in machine learning and software engineering Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) Experience with cloud platforms (AWS, GCP, Azure) Experience with CI/CD pipelines for machine learning (e.g., Vertex AI) Familiarity with data processing tools like Apache Beam/Dataflow Strong understanding of monitoring and maintaining models More ❯
experience of these would be really useful Scripting or Automation - Basic knowledge of Bash or Python to automate routine tasks Cloud support knowledge - Understanding of cloud environments like OCP, GCP, Azure, AWS as well as Private Cloud solutions Soft skills & Emotional Intelligence - Staying clam under pressure and effectively handling stressful situations whilst continuing to communicate effectively Observability - Familiarity with monitoring More ❯
a focus on building scalable data systems and platforms. Strong expertise with modern data tools and frameworks such as Spark , dbt , Airflow , Kafka , Databricks , and cloud-native services (AWS, GCP, or Azure). Deep understanding of data modeling , distributed systems , streaming architectures , and ETL/ELT pipelines . Proficiency in SQL and at least one programming language such as Python More ❯
Serve, Triton, or vLLM is a big plus Bonus Points Experience with observability frameworks like Prometheus or OpenTelemetry Knowledge of ML libraries: TensorFlow, PyTorch, HuggingFace Exposure to Azure or GCP Passion for financial services Qualifications Degree in Computer Science, Engineering, Data Science, or similar What We Offer A collaborative and innovative work environment with excellent career growth opportunities 34 days More ❯
of designing, building, and running high-quality, standards-compliant workflow APIs, with a focus on testing, observability, and performance. Have worked with a cloud provider (AWS/Azure/GCP). Have worked with distributed systems and are comfortable debugging through tracing and observability. Willing to be on-call for your services. Nice to have Have experience with Node.js , specifically More ❯
business. As part of your career growth, there are several internal and external qualifications that you will have access to, these include: Sponsored training and certifications for AWS, Azure, GCP, CNCF CKAD and CKS,and access to many of our other partner product training Accenture's internal DevSecOps Academy and DevSecOps Academy for Executives Accenture's internal Master Technology Architect More ❯
team leadership experience - with the ability to coordinate, motivate, and guide a technical team. Excellent verbal and written communication skills. Preferred Qualifications: Experience with cloud platforms (e.g., AWS, Azure, GCP) in relation to data services. Informatica certifications (Cloud or On-Premise) are a plus. Familiarity with Jira, Confluence, or other Agile project management tools. More ❯
any experience of these would be really useful Scripting or Automation - Basic knowledge of Bash or Python to automate routine tasks Cloud support knowledge - Understanding of cloud environments like GCP, Azure, AWS as well as Private Cloud solutions Soft skills & Emotional Intelligence - Staying clam under pressure and effectively handling stressful situations whilst continuing to communicate effectively Observability - Familiarity with monitoring More ❯
business. As part of your career growth, there are several internal and external qualifications that you will have access to, these include: Sponsored training and certifications for AWS, Azure, GCP, CNCF CKAD and CKS,and access to many of our other partner product training Accenture's internal DevSecOps Academy and DevSecOps Academy for Executives Accenture's internal Master Technology Architect More ❯
best practices Ability to communicate clearly and work collaboratively with cross-functional teams Desirable Skills (Nice to Have): Proficiency in SQL and familiarity with a major cloudplatform (AWS, GCP, or Azure) Experience working with wearable sensor data or time-series data Personal or academic projects that combine sport and data More ❯
our back-end services are mostly Python. You should have experience of both, as well as a pragmatic approach to choosing what goes where. We're deploying in GoogleCloudPlatform and so experience there is a strong plus. The key responsiblites of the role are: Design, build, and maintain efficient, reusable, and reliable code in Ruby on Rails and More ❯
It would be great if you also had Scripting or Automation - Basic knowledge of Bash or Python to automate routine tasks. Cloud support knowledge - Understanding of cloud environments like GCP, Azure, AWS as well as Private Cloud solutions. Soft skills & Emotional Intelligence - Staying clam under pressure and effectively handling stressful situations whilst continuing to communicate effectively. Observability - Familiarity with monitoring More ❯
The bank and the team is investing in GenAI backed applications and a strong willingness to learn and contribute will make you stand out. Strong background on Linux and GCP/AWS/Azure. Experience on containers, Kubernetes and/or serverless architecture will be highly advantageous Collaborative mind-set with cross-functional leadership across Product, DevOps, Security, QA and More ❯
one of the following types of programmes: (1) Wealth Technology Platforms; (2) Asset Servicing; (3) Digital and/or Cloud transformation, including implementation of digital user experience with AWS, GCP, Azure, Cloud-based ERP and/or other cloud architectures; (4) Real Estate Programme strategy; definition and planning, delivery strategy, business case development; mergers and acquisitions Portfolio design; alignment of More ❯
areas - such as modern data platforms, data product engineering, data marketplace architecture, data developer portals, platform engineering. Experience co-selling partner solutions with hyperscalers or platforms (e.g. AWS, Azure, GCP, Snowflake, Databricks). Outstanding communication skills - able to translate complex ideas for both technical and business audiences. Demonstrated thought leadership in AI/ML such as speaking at industry events More ❯
in major enterprise architecture engagements e.g. application optimisation/rationalisation, re-platforming, modernization of enterprise data architecture Certified in COBIT, TOGAF, DCAM and/or AWS/Azure/GCP solution architecture Knowledge of DAMA-DMBOK Familiarity with applying key frameworks such as APQC Process Classification Framework, Zachman Framework, ITIL and Scaled Agile Framework What's in it for you More ❯
activities to build your professional expertise within Architecture. Qualification We are looking for experience in the following skills: Commercial experience in one or more major cloudplatform(s) (AWS, GCP, Azure), preferably with relevant certifications. A background working in development, engineering or technical business analysis, with a desire to transition into the world of Architecture. Knowledge across key principles including More ❯
The bank and the team is investing in GenAI backed applications and a strong willingness to learn and contribute will make you stand out. Strong background on Linux and GCP/AWS/Azure. Experience on containers, Kubernetes and/or serverless architecture will be highly advantageous Collaborative mind-set with cross-functional leadership across Product, DevOps, Security, QA and More ❯
code quality and testing best practices Experience of designing, documenting and carrying out scientific testing procedures Proficiency with SQL and familiarity with at least one major cloudplatform (AWS, GCP, or Azure) You'll Fit Right In If You: Love solving problems and building things from the ground up Are curious, collaborative, and proactive in your approach Enjoy turning complex More ❯
led technical delivery of data engineering projects in a consultancy or client-facing environment You're experienced with Python, SQL, .NET, dbt, Airflow and cloud-native data tools (AWS, GCP or Azure) You have strong knowledge of data architecture patterns - including Lakehouse and modern warehouse design (e.g. Snowflake, BigQuery, Databricks) You know how to build with performance, security and maintainability More ❯
us on our journey and you will too What you'll do Lead the engineering team responsible for end-to-end infrastructure and technology transformation, including legacy decommissioning and GCP-based data infrastructure. Provide technical direction and mentorship, fostering collaboration, innovation, and continuous improvement. Design scalable, high-performance cloud infrastructure on GCP, ensuring availability, resilience, security, and compliance. Implement Infrastructure … and embed DevSecOps principles. Collaborate with stakeholders to translate business needs into technical solutions aligned with cloud strategy. Communicate progress and risks to senior leadership. Stay current on GCP services and data infrastructure trends to drive continuous improvement and innovation. What you'll need Extensive experience leading engineering teams in cloud-based data platforms, preferably with GCP expertise. Deep knowledge More ❯
Services Engineer - GridOS page is loaded Services Engineer - GridOS Apply locations Edinburgh time type Full time posted on Posted 30+ Days Ago job requisition id R Job Description Summary We are seeking a technical, client-focused Solutions Specialist to join More ❯
