76 to 100 of 228 Apache Spark Jobs in the UK

+ ETL/ELT experience Knowledge of Python/T-SQL Exposure to DBT Exposure to cloud platforms (Azure preferred) Nice to have: Databricks, Spark, CI/CD, big data This is a great opportunity to join a high-impact data team in a global organisation and shape ...

tools, and emerging technologies. \* Develop reference architectures, solution blueprints, and best-practice playbooks for Databricks implementations. \* Architect scalable ETL/ELT pipelines using PySpark, Spark SQL, Delta Live Tables, and Databricks Workflows. \* Implement performance optimization strategies for notebooks, clusters, job orchestration, and data storage. \* Guide teams in building curated ...

teams to drive outcomes Core skills (indicative) Production pipeline design and deployment experience Strong engineering capability with Python, SQL, plus big data tooling (e.g., Spark, and Java/Scala where relevant AWS, Azure, GCP Working pattern Hybrid working, with the team on client site or in the office ...

preparation. Machine learning and statistical methods, including model validation. Data analytics and visualisation techniques. Processing large datasets using batch or streaming tools such as Apache Spark. Data acquisition and fusion approaches. Cloud platforms (ideally AWS) and cloud-based data science solutions. DataOps principles and practices. Structured and unstructured databases. ...

auction systems Excellent communication skills, able to explain complex technical systems to commercial, operations and senior leadership teams. Experience with Google Cloud, Docker, Kafka, Spark, Airflow, ElasticSearch, ClickHouse or similar production infrastructure Experience owning product roadmaps, release governance or cross-functional delivery across distributed teams and time zones. What ...

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 SparkTM, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits ...

such as MLflow, Airflow, model monitoring, API monitoring, data validation, data drift detection, autoscaling and access management. Strong Python experience, with helpful knowledge of Spark or PySpark for working with large‐scale data and machine learning systems. An understanding of feature stores and related data technologies used to support ...

designing and enforcing data contracts and quality SLAs in distributed data ecosystems. Proficiency in Python, Java, or Scala, and experience building pipelines with Databricks, Spark, or Kafka. Strong understanding of data governance principles, privacy regulations (GDPR, CCPA), and secure data handling practices. Familiarity with metadata management and data catalog ...

libraries (e.g., scikit-learn, pandas, PyTorch or TensorFlow). Practical experience with Databricks, including MLflow for experiment tracking and model management, and Spark-based data processing. Familiarity with Generative AI concepts and tooling, including working with LLMs, prompt engineering, RAG patterns, and vector search. A solid understanding of MLOps ...

Excellent verbal and written communication skills BS or MS degree in Computer Science or equivalent Experience in distributed computing frameworks like Hive/Hadoop, Apache Spark Experience in developing Finance or HR related applications Experience with cloud services: AWS Elastic Beanstalk, EC2, S3, CloudFront, RDS, DynamoDB, VPC, Elastic … Cache, Lambda Working experience with Terraform Experience in creating workflows for Apache Airflow What the job involves As a senior technical lead, you consider yourself a platform services developer and develop innovative solutions using modern software frameworks and paradigms You are self‐driven and a problem solver, with ...

platforms that enable real‐time and batch data processing at scale. Responsibilities Drive platform capability improvements – continuously enhance distributed data platforms using knowledge of Spark, Databricks, Kafka, Pulsar, Cassandra, and object stores to maintain best‐in‐class capabilities. Enable application data consumption – understand how applications produce and consume data … structures, partitioning strategies, consistency models, and performance optimisation, as well as OLTP databases such as PostgreSQL and MySQL. Distributed compute frameworks – strong experience with Apache Spark and distributed data processing, including optimisation, performance tuning, and large‐scale batch/streaming workloads. Cloud‐native data platforms – demonstrated experience with ...

Experience with Infrastructure-as-Code tools such as Terraform Knowledge of DevOps, CI/CD, platform automation, and cloud‐native operational practices Familiarity with Apache Spark, dbt, and modern data integration technologies Delivery Experience Experience leading architecture for enterprise-wide Databricks implementations and cloud data modernization initiatives Proven ...

Scala. Strong knowledge of SQL and experience with data warehousing solutions. Familiarity with cloud platforms (AWS, Azure, Google Cloud) and big data technologies (Hadoop, Spark). Excellent problem-solving skills and a keen eye for detail. A collaborative spirit and a genuine passion for data! Our Client's Benefits ...

services, capital markets or FinTech. Additional AWS services such as SQS, SNS, Step Functions, EventBridge or Secrets Manager. Big data technologies including DuckDB, pandas, Spark, Databricks or Snowflake. AI/ML technologies including vector databases, semantic search or LLM orchestration frameworks. Continuous delivery and modern development workflows. Data science ...

stakeholders. Strong system‐level problem‐solving skills with the ability to make architectural trade‐offs. Experience with modern analytics tools and platforms such as Spark, data lakes, and similar. Hands‐on experience with LLMs, AI prompt design, and building production‐grade AI applications. Advantage Previous experience as a DBA. ...

Computer Vision: Familiarity with computer vision techniques and libraries like OpenCV. Experience with Big Data Tools: Experience with big data tools like Hadoop, Spark, or Hive. Knowledge of Reinforcement Learning: Understanding of reinforcement learning techniques and algorithms. Familiarity with Robotics: Experience with robotics and robotic process automation (RPA) tools. ...

machine learning development (training and/or deploying models at scale). Outstanding programming skills in Python. Experience with distributed data processing frameworks (e.g., Spark). Experience with deep learning/NLP frameworks (e.g., PyTorch, Hugging Face). Solid understanding of software engineering principles and ML lifecycle practices (MLOps ...

encouraged to talk about it Experience in financial services,insuranceor another regulated sector Experience deploying real‐time or streaming ML models (e.g.Kafka, Flink, Spark Structured Streaming) Passion for automation, tooling, and building reusable systems Interest in responsible AI and ML model governance Why Compare the Market ...

both OnPrem and Cloud* Experience with processing large datasets as well as streaming data and unstructured data sources including Cassandra HBase Kafka and Spark* Strong ETL and data pipeline experience particularly with modern big data toolsets such as Airflow and Nifi or equivalent* Strong programming background in either Java ...

support data pipelines, ensuring they are production-ready and meet data quality standards. You will work with technologies such as Python, SQL, and Apache Spark, helping drive analytics and operational decision-making. Ideal candidates possess strong programming skills, a relevant degree, and a collaborative spirit, as you will ...

best practices including CI/CD, deployment and monitoring. Mentor junior team members and contribute to technical design decisions. Essential Skills Python & SQL Databricks & Apache Spark Agentic AI/AI Agents Generative AI & LLMs RAG, Embeddings & Vector Search NLP MLflow/MLOps Experience deploying AI solutions into production ...

Essential Skills of the Analytical Platform Engineer Python Kubernetes Docker CI/CD pipelines (GitLab or similar) Desirable skills MLOps and data engineering concepts Apache Spark Scala S3-compatible object storage Graph database technologies If you are an driven and experienced Analytical platform engineer looking for their next ...

Essential Skills of the Analytical Platform Engineer Python Kubernetes Docker CI/CD pipelines (GitLab or similar) Desirable skills MLOps and data engineering concepts Apache Spark Scala S3-compatible object storage Graph database technologies If you are an driven and experienced Analytical platform engineer looking for their next ...

ownership Technical Application ownership Qualifications Strong experience with DevOps & IaC tooling - Terraform, CI/CD pipelines, Git, Jenkins , Harness Strong experience of developing on Apache Spark/Hadoop Strong experience with AWS cloud services including AWS Glue, S3, Step Strong experience building data pipelines and data lake Experience ...

ownership Technical Application ownership Qualifications Strong experience with DevOps & IaC tooling - Terraform, CI/CD pipelines, Git, Jenkins , Harness Strong experience of developing on Apache Spark/Hadoop Strong experience with AWS cloud services including AWS Glue, S3, Step Strong experience building data pipelines and data lake Experience ...