126 to 150 of 213 Apache Spark Jobs in London

Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that More ❯

Strong track record delivering production-grade ML models Solid grasp of MLOps best practices Confident speaking to technical and non-technical stakeholders 🛠️ Tech you’ll be using: Python, SQL, Spark, R MLflow, vector databases GitHub/GitLab/Azure DevOps Jira, Confluence 🎓 Bonus points for: MSc/PhD in ML or AI Databricks ML Engineer (Professional) certified More ❯

Strong track record delivering production-grade ML models Solid grasp of MLOps best practices Confident speaking to technical and non-technical stakeholders 🛠️ Tech you’ll be using: Python, SQL, Spark, R MLflow, vector databases GitHub/GitLab/Azure DevOps Jira, Confluence 🎓 Bonus points for: MSc/PhD in ML or AI Databricks ML Engineer (Professional) certified More ❯

or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong business acumen, communication skills, and stakeholder engagement. If this role looks of interest, please apply here. Please note - this role cannot offer visa sponsorship. More ❯

or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong business acumen, communication skills, and stakeholder engagement. If this role looks of interest, please apply here. Please note - this role cannot offer visa sponsorship. More ❯

and Kubernetes Familiarity with graph databases and graph traversal languages like Cypher and Infrastructure as code tools (Pulumi, Cloudformation, Terraform) Hands-on experience with distributed computing technologies like Hadoop, Spark, Flink Comfortable with independently diagnosing issues across the entire stack network, application or server using tools such as ( JVM Profiling, Wireshark, Charles, debuggers More ❯

science ecosystem (e.g., pandas, scikit-learn, TensorFlow/PyTorch) , Statistical methods and machine learning (e.g., A/B testing, model validation) , Data pipelining tools like SQL, dbt, BigQuery, or Spark , A strong communicator with the ability to communicate technical concepts into layman's terms for a non-technical audience , You're not afraid to challenge the status quo if More ❯

written and verbal Preferred (but not required) to have: Experience in the retail/CPG vertical Hands on experience with Python Experience working with modern data technology (e.g. dbt, spark, containers, devops tooling, orchestration tools, git, etc.) Experience with AI, data science and machine learning technologies People want to buy from people who understand them. Our Solution Engineers build More ❯

written and verbal Preferred (but not required) to have: Experience in the retail/CPG vertical Hands on experience with Python Experience working with modern data technology (e.g. dbt, spark, containers, devops tooling, orchestration tools, git, etc.) Experience with AI, data science and machine learning technologies People want to buy from people who understand them. Our Solution Engineers build More ❯

written and verbal Preferred (but not required) to have: Experience in the retail/CPG vertical Hands on experience with Python Experience working with modern data technology (e.g. dbt, spark, containers, devops tooling, orchestration tools, git, etc.) Experience with AI, data science and machine learning technologies People want to buy from people who understand them. Our Solution Engineers build More ❯

written and verbal Preferred (but not required) to have: Experience in the retail/CPG vertical Hands on experience with Python Experience working with modern data technology (e.g. dbt, spark, containers, devops tooling, orchestration tools, git, etc.) Experience with AI, data science and machine learning technologies People want to buy from people who understand them. Our Solution Engineers build More ❯

written and verbal Preferred (but not required) to have: Experience in the retail/CPG vertical Hands on experience with Python Experience working with modern data technology (e.g. dbt, spark, containers, devops tooling, orchestration tools, git, etc.) Experience with AI, data science and machine learning technologies People want to buy from people who understand them. Our Solution Engineers build More ❯

variety of technical and executive audiences both written and verbal Preferred (but not required) to have: Hands on experience with Python Experience working with modern data technology (e.g. dbt, spark, containers, devops tooling, orchestration tools, git, etc.) Experience with data science and machine learning technology People want to buy from people who understand them. Our Sales Engineers build connections More ❯

hold or be willing to gain a UK Security Clearance Preferred (but not required) to have: Hands on experience with Python Experience working with modern data technology (e.g. dbt, spark, containers, devops tooling, orchestration tools, git, etc.) Experience with AI, data science and machine learning technologies People want to buy from people who understand them. Our Solution Engineers build More ❯

deploying models in production and adjusting model thresholds to improve performance Experience designing, running, and analyzing complex experiments or leveraging causal inference designs Experience with distributed tools such as Spark, Hadoop, etc. A PhD or MS in a quantitative field (e.g., Statistics, Engineering, Mathematics, Economics, Quantitative Finance, Sciences, Operations Research) Office-assigned Stripes spend at least 50% of the More ❯

current cyber security threats, actors and their techniques. Experience with data science, big data analytics technology stack, analytic development for endpoint and network security, and streaming technologies (e.g., Kafka, Spark Streaming, and Kinesis). Strong sense of ownership combined with collaborative approach to overcoming challenges and influencing organizational change. Amazon is an equal opportunities employer. We believe passionately that More ❯

the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything-spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds? You'll More ❯

priorities aimed at maximizing value through data utilization. Knowled g e/Experience Expertise in Commercial/Procurement Analytics. Experience in SAP (S/4 Hana). Experience with Spark, Databricks, or similar data processing tools. Stron g technical proficiency in data modelin g , SQL, NoSQL databases, and data warehousing . Hands-on experience with data pipeline development, ETL … processes, and big data technolo g ies (e. g ., Hadoop, Spark, Kafka). Proficiency in cloud platforms such as AWS, Azure, or Goo g le Cloud and cloud-based data services (e.g ., AWS Redshift, Azure Synapse Analytics, Goog le Bi g Query). Experience with DataOps practices and tools, includin g CI/CD for data pipelines. More ❯

priorities aimed at maximizing value through data utilization. Knowled g e/Experience Expertise in Commercial/Procurement Analytics. Experience in SAP (S/4 Hana). Experience with Spark, Databricks, or similar data processing tools. Stron g technical proficiency in data modelin g , SQL, NoSQL databases, and data warehousing . Hands-on experience with data pipeline development, ETL … processes, and big data technolo g ies (e. g ., Hadoop, Spark, Kafka). Proficiency in cloud platforms such as AWS, Azure, or Goo g le Cloud and cloud-based data services (e.g ., AWS Redshift, Azure Synapse Analytics, Goog le Bi g Query). Experience with DataOps practices and tools, includin g CI/CD for data pipelines. More ❯

listed below. AI techniques (supervised and unsupervised machine learning, deep learning, graph data analytics, statistical analysis, time series, geospatial analysis, NLP, sentiment analysis, pattern detection, etc.) Python, R, or Spark for data insights Data Bricks/Data QISQL for data access and processing (PostgreSQL preferred, but general SQL knowledge is important) Latest Data Science platforms (e.g., Databricks, Dataiku, AzureML … SageMaker) and frameworks (e.g., TensorFlow, MXNet, scikit-learn) Software engineering practices (coding standards, unit testing, version control, code review) Hadoop distributions (Cloudera, Hortonworks), NoSQL databases (Neo4j, Elastic), streaming technologies (Spark Streaming) Data manipulation and wrangling techniques Development and deployment technologies (virtualisation, CI tools like Jenkins, configuration management with Ansible, containerisation with Docker, Kubernetes) Data visualization skills (JavaScript preferred) Experience More ❯

options Hybrid working - 1 day a week in a central London office High-growth scale-up with a strong mission and serious funding Modern tech stack: Python, SQL, Snowflake, Apache Iceberg, AWS, Airflow, dbt, Spark Work cross-functionally with engineering, product, analytics, and data science leaders What You'll Be Doing Lead, mentor, and grow a high-impact More ❯

systems, with a focus on data quality and reliability. Design and manage data storage solutions, including databases, warehouses, and lakes. Leverage cloud-native services and distributed processing tools (e.g., Apache Flink, AWS Batch) to support large-scale data workloads. Operations & Tooling Monitor, troubleshoot, and optimize data pipelines to ensure performance and cost efficiency. Implement data governance, access controls, and … ELT pipelines and data architectures. Hands-on expertise with cloud platforms (e.g., AWS) and cloud-native data services. Comfortable with big data tools and distributed processing frameworks such as Apache Flink or AWS Batch. Strong understanding of data governance, security, and best practices for data quality. Effective communicator with the ability to work across technical and non-technical teams. … Additional Strengths Experience with orchestration tools like Apache Airflow. Knowledge of real-time data processing and event-driven architectures. Familiarity with observability tools and anomaly detection for production systems. Exposure to data visualization platforms such as Tableau or Looker. Relevant cloud or data engineering certifications. What we offer: A collaborative and transparent company culture founded on Integrity, Innovation and More ❯

construction, validation, and calibration. Experience with uncertainty quantification and performance estimation (e.g., cross-validation, bootstrapping, Bayesian credible intervals). Familiarity with database and data processing tools (e.g., SQL, MongoDB, Spark, Pandas). Ability to translate ambiguous business problems into structured, measurable, and data-driven approaches. Preferred Qualifications M.Sc or PhD in Statistics, Electrical Engineering, Computer Science, Physics, or a More ❯

experience as a Data Engineer (3-5 years); Deep expertise in designing and implementing solutions on Google Cloud; Strong interpersonal and stakeholder management skills; In-depth knowledge of Hadoop, Spark, and similar frameworks; In-depth knowledge of programming languages including Java; Expert in cloud-native technologies, IaC, and Docker tools; Excellent project management skills; Excellent communication skills; Proactivity; Business More ❯

deep learning methods and machine learning PREFERRED QUALIFICATIONS - Experience with popular deep learning frameworks such as MxNet and Tensor Flow - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and More ❯