a multinational or matrixed organization. 5+ years of experience in data engineering, analytics, or data management, with hands-on expertise in cloud-based data platforms (e.g., Azure, AWS, GCP, Snowflake). Proven expertise in designing, developing, and maintaining scalable data pipelines, ETL/ELT processes, and integrations to support advanced analytics. Experience with data governance frameworks, master data management (MDM More ❯
engineering teams delivering end-to-end data solutions across cloud and on-premise environments. Solution Architecture – Design modern data lakes, warehouses, and lakehouses using Databricks, with additional exposure to Snowflake, Azure Synapse, or Fabric being a bonus. Data Modelling – Build and optimise enterprise-grade data models across varied data layers. ETL/ELT Engineering – Use tooling such as Databricks, SSIS More ❯
management skills; comfortable influencing C-suite clients. Advantageous competencies (but not essential): Exposure to AI/ML, NLP or advanced modelling Exposure to the modern data stack tools (e.g. Snowflake, Databricks). Experience managing P&L, setting go-to-market strategy or building consulting practices. Exposure to behavioural data sources (eg Google or Adobe analytics). Benefits Benefits At Interpath More ❯
business value. Ensure data quality, integrity, and governance throughout the data lifecycle. Optimize data storage, retrieval, and processing for performance and scalability on cloud platforms (Azure, AWS, GCP, Databricks, Snowflake). Translate business requirements into technical data engineering solutions, including architecture decisions and technology selection. Contribute to proposals, technical assessments, and internal knowledge sharing. Data preparation, feature engineering, and MLOps … Science, Data Engineering, Information Systems, Mathematics, or related quantitative field. Essential Criteria Proven experience building and maintaining large-scale data pipelines using tools such as Databricks, Azure Data Factory, Snowflake, or similar Strong programming skills in Python and SQL, with proficiency in data engineering libraries (pandas, PySpark, dbt). Deep understanding of data modelling, ETL/ELT processes, and Lakehouse More ❯
and data transformation Expertise with star schemas, dimensional modelling semantic models, and dataflows Solid understanding of data security, access controls, and distribution practices Experience with data sources such as Snowflake, SQL, Databricks, and BW Knowledge of Analysis Services/Azure Analysis Services; DevOps processes Desirable Skills Python, PowerShell, Azure, Databricks, Copilot experience Desired Skills and Experience Power BI Development, Dashboard More ❯
skills — ability to turn data into compelling stories. Nice to Have: Experience with Python, R, or another scripting language for data manipulation. Familiarity with cloud data platforms (e.g., BigQuery, Snowflake, Redshift). Understanding of player segmentation, LTV, churn, and responsible gaming metrics. What we offer: Fully remote work. Competitive salary package commensurate with experience Opportunity to work in a rapidly More ❯
Finance, Marketing or GTM teams. Ideally in a B2B SaaS environment dbt & BigQuery: commercial experience developing DBT models on top of a modern data warehouse such as BigQuery or Snowflake Expert SQL: advanced query design, optimisation, and building reusable analytical datasets. Modern BI: hands-on experience with a modern BI platform with integrated semantic layer (e.g Omni, Looker, Thoughtspot) Python More ❯
ROI assessments Undertake competitor and market trend analysis within these areas of product accountability e.g. Experian Ascend Develop local partner opportunities to commercialise Equifax global analytical products & platforms e.g. Snowflake, Databricks, etc. Work closely with UK D&A & Technology colleagues to operationalise Equifax global analytical products & platforms in the UK market e.g. user access, data updates, customer processes, etc. Liaise More ❯
Collaborate cross-functionally with internal teams, including consulting and delivery, to uncover new business opportunities and tailor solutions that meet client needs. Work closely with key technology partners (Alteryx, Snowflake, Databricks, Qlik, Tableau, AWS, Microsoft) to generate leads, co-sell, and deepen market presence. What We're Looking For In Our Applicants 5+ years of proven success in new business More ❯
all platforms and build trusted relationships across the organisation. You will need: • Proven experience designing enterprise-scale data architectures in a complex environment • Expertise in modern data platforms including Snowflake, Databricks and leading cloud services • Strong understanding of event-driven architectures and real-time data processing • Experience applying data modelling techniques to both analytical and operational systems • Degree in Computer More ❯
to define solution objectives, integrate presales insights into product roadmaps, and ensure seamless customer onboarding AI Integration & Application: Proactively explore, evaluate, and integrate AI tools (e.g., Generative AI in Snowflake Cortex) to automate repetitive tasks, improve content generation, summarise calls, answer technical questions, and optimise sales pitches and meeting preparations. Ensure ethical and responsible use of AI outputs, verifying accuracy … and present them in a compelling, client-focused narrative that resonates with business needs and drives buy-in. AI/ML Tools & Concepts: Experience with generative AI platforms (e.g., Snowflake Cortex, Chat GPT) and prompt engineering for presales use cases such as content generation, technical Q&A, and call summarisation. Understanding of how AI augments human capabilities in sales and More ❯
in Computer Science or similar or equivalent work experience Preferred Experience with policy languages such as Rego or Cedar Experience with cloud databases such as Amazon DynamoDB, Aurora or Snowflake Experience with data platform tools such as Apache Flink and Kafka Experience with Java/python CI/CD pipelines – CloudBees/Jenkins SailPoint is an equal opportunity employer and More ❯
forces to serve the full AI lifecycle — all in one seamless platform. Weights & Biases has long been trusted by over 1,500 organizations — including AstraZeneca, Canva, Cohere, OpenAI, Meta, Snowflake, Square,Toyota, and Wayve — to build better models, AI agents and applications. Now, as part of CoreWeave, that impact is amplified across a broader ecosystem of AI innovators, researchers, and More ❯
enables our customers to navigate the rapidly changing Digital-First world we live in. We foster strong partnerships with leading technology giants including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. We're An Award-winning Employer Reflecting How Our Employees Are At The Very Heart Of Version More ❯
etc.). General technical knowledge of software development processes and systems (experience in designing and building payment systems is a significant advantage). Proficiency with BI tools (SQL, Looker, Snowflake, Datadog, Excel/Sheets) and excellent presentation skills Bonus: Experience at companies known for strong developer ecosystems (e.g., Stripe, Postman, Shopify, Slack, Twilio, Airbnb, etc.). Total Rewards Our workforce More ❯
and accelerate growth of alliance revenue, we are seeking dynamic and strategic Alliances Sales Executives (Director) to be part of an elite sales team. You will accelerate growth on Snowflake, IBM or Databricks alliances, focus on major accounts, and target priority sectors to capture the end-to-end multi-alliance transformation opportunity, positioning EY as market leaders in the next More ❯
close to the code. Perfect if you want scope for growth without going "post-technical." What you'll do Design and build modern data platforms using Databricks, Apache Spark, Snowflake, and cloud-native services (AWS, Azure, or GCP). Develop robust pipelines for real-time and batch data ingestion from diverse and complex sources. Model and optimise data for performance … as a Senior/Lead Data Engineer in complex enterprise environments. Strong coding skills in Python (Scala or functional languages a plus). Expertise with Databricks, Apache Spark, and Snowflake (HDFS/HBase also useful). Experience integrating large, messy datasets into reliable, scalable data products. Strong understanding of data modelling, orchestration, and automation. Hands-on experience with cloud platforms More ❯
predictive accuracy, interpretability, and automation. Engineer scalable analytical frameworks and reusable ML assets, integrating Python-based (or other) ML pipelines (TensorFlow, PyTorch, Scikit-learn, Pandas) with enterprise data platforms (Snowflake, Azure, Google Vertex AI) to standardise insight generation and model delivery. Collaborate with Data Architecture and Engineering to operationalise models through containerised MLOps environments (Kubernetes, CI/CD), enabling continuous … teams, combining hands-on technical understanding with strategic direction. Deep familiarity with insurance data structures (claims, exposure, policy, reserving, capital, and investment). Strong knowledge of modern data tooling — Snowflake, Python, R, Power BI, SQL, and Azure — and how to deploy them at enterprise scale. Outstanding communication and stakeholder skills — confident engaging with executives, actuaries, and engineers alike. A passion … learning and statistical techniques — including regression, classification, clustering, and time-series modelling. Has knowledge in building scalable, cloud-based analytical platforms and production pipelines using technologies such as Azure, Snowflake, and Python-based frameworks. Has knowledge in a finance background; i.e. risk, finance, actuarial science or quantitative analysis. Strong collaborator and team player who builds positive, cross-functional relationships and More ❯
cutting-edge technologies, data insights, and resilient content delivery pipelines. This role involves a strategic focus on the development of foundational platforms, including a robust Data Platform built on Snowflake, a cutting-edge AI Platform using Large Language Models (LLMs), and building highly available foundational components to publish strategic Which? content. You will be responsible for fostering a culture of … like Smart Search, MCP layer, etc., using AWS Bedrock, AWS Agentcore, Guardrails, Agents, RAG, and related technologies. Data Platform: A team focused on building a scalable data platform using Snowflake and Snowflake intelligence, with a focus on data engineering, governance, and empowering teams to create and consume self-service data products. Content Publishing Infrastructure & Experience Squad: A team focussed on … Improvement: Drive continuous improvement of processes within the platform teams, focusing on a culture of continuous learning and value-added work. Supplier Partnerships: Collaborate with 3rd party suppliers (e.g., Snowflake, AWS, Content Platforms) to ensure they are delivering against their commitments and that our teams are leveraging their platforms effectively. About You You'll be experienced in line managing, mentoring More ❯
