26 to 50 of 137 Apache Spark Jobs in the UK

/or Computer Vision. Strong knowledge of Machine Learning algorithms and statistics. Experience with SQL/NoSQL databases and big data tools (Spark, Hadoop preferred). Experience with MLOps tools such as Docker, Kubernetes, CI/CD pipelines. Preferred Skills Experience with LLMs/Generative AI (OpenAI, Hugging Face ...

data modeling, schema design, normalization, and multidimensional modeling. - Experience with ETL/ELT tools (Glue, Informatica, Airflow). - Knowledge of Big Data technologies (Spark, Hadoop, Kafka). - Strong understanding of API-based integrations. Preferred Skills: - NoSQL experience (MongoDB, DynamoDB). - Snowflake/Redshift/Databricks exposure. - CI/ ...

about other roles, please contact Nick Mandella at Harnham. KEYWORDS Python, SQL, AWS, GCP, Azure, Cloud, Databricks, Docker, Kubernetes, CI/CD, Terraform, Pyspark, Spark, Kafka, machine learning, statistics, Data Science, Data Scientist, Big Data, Artificial Intelligence, private equity, finance. ...

leading and developing data engineering platforms. The ideal candidate will possess hands-on expertise in the following areas: Extensive enterprise experience with Hadoop, Spark , and Splunk. Proficiency in object-oriented and functional scripting, particularly in Python . Skilled in handling raw, structured, semi-structured, and unstructured data ...

experience and familiarity with frameworks (e.g. Flask, Django) Experience building and orchestrating ETL pipelines (e.g. Airflow, Luigi, Argo) Exposure to big data technologies (e.g. Spark, Kafka, Hadoop) Experience working in Agile environments Solid understanding of data architecture and data quality best practices ...

experience and familiarity with frameworks (e.g. Flask, Django) Experience building and orchestrating ETL pipelines (e.g. Airflow, Luigi, Argo) Exposure to big data technologies (e.g. Spark, Kafka, Hadoop) Experience working in Agile environments Solid understanding of data architecture and data quality best practices ...

DataOps practices, including CI/CD, containerisation, and workflow orchestration Hands-on experience with ETL/ELT frameworks and big data tools (e.g. Spark, Airflow, Hive) Proficiency in programming languages such as Python, Java, and SQL Experience with SQL and NoSQL database design and optimisation Strong understanding of batch ...

Strong full-stack experience with Python , Java (Spring Boot) , React , SQL, and relational databases. Hands-on experience with modern data engineering tools (e.g. Airflow, Spark, Kafka, dbt, Snowflake or similar). Experience with cloud platforms , containerisation (Docker/Kubernetes) , and CI/CD pipelines . Solid understanding of data ...

data engineering, data platforms and big data technologies Evaluate and improved existing data processes Essential Experiences: Advanced SQL skills Proficient in Databricks, including Spark, Delta Lake and MLflow Experience migrating SSIS to Databricks In depth understanding of ETL/ELT processes Knowledge of data warehousing concepts and architectures Able ...

platforms such as AWS, Azure, or GCP. Exposure to modern data tools such as Snowflake, Databricks, or BigQuery. Familiarity with streaming technologies (e.g., Kafka, Spark Streaming, Flink) is an advantage. Experience with orchestration and infrastructure tools such as Airflow, dbt, Prefect, CI/CD pipelines, and Terraform. What ...

commodities markets or broader financial markets. Knowledge of quantitative modeling, risk management, or algorithmic trading. Familiarity with big data technologies like Kafka, Hadoop, Spark, or similar. Why Work With Us? Impactful Work: Directly influence the profitability of the business by building technology that drives trading decisions. Innovative Culture ...

discussions and provide guidance on data engineering best practices. Ability to troubleshoot and optimize data workflows. Required Knowledge and Skills: Experience with Databricks or Spark-based environments, including optimization strategies. Familiarity with data governance tools and frameworks (e.g., Unity Catalog). Experience with JavaScript Full-Stack development environments including ...

plus) Experience with orchestration and workflow tools (Airflow, Cloud Composer, Dagster, etc.) Familiarity with modern data stack components (BigQuery, dbt, Kafka/PubSub, Spark, etc.) Knowledge of data security, access control, and best practices for handling sensitive data Experience collaborating across engineering, analytics, and product teams Strong communication skills ...

transformation. Proficiency in Python and PySpark for advanced data engineering, machine learning, and large-scale distributed processing within Databricks. Hands-on experience with Spark optimizations (Adaptive Query Execution, caching, partitioning, broadcast joins) to deliver performant solutions for big data workloads. Advanced knowledge of BI and visualization tools such ...

sectors. Strong knowledge of data fabric architectures, metadata management, and data governance principles. Experience with SQL, ETL tools, and big data technologies (e.g., Hadoop, Spark, Kafka). Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and data integration frameworks. Strong problem-solving skills and ability to work ...

sectors. Strong knowledge of data fabric architectures, metadata management, and data governance principles. Experience with SQL, ETL tools, and big data technologies (e.g., Hadoop, Spark, Kafka). Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and data integration frameworks. Strong problem-solving skills and ability to work ...

sectors. Strong knowledge of data fabric architectures, metadata management, and data governance principles. Experience with SQL, ETL tools, and big data technologies (e.g., Hadoop, Spark, Kafka). Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and data integration frameworks. Strong problem-solving skills and ability to work ...

sectors. Strong knowledge of data fabric architectures, metadata management, and data governance principles. Experience with SQL, ETL tools, and big data technologies (e.g., Hadoop, Spark, Kafka). Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and data integration frameworks. Strong problem-solving skills and ability to work ...

sectors. Strong knowledge of data fabric architectures, metadata management, and data governance principles. Experience with SQL, ETL tools, and big data technologies (e.g., Hadoop, Spark, Kafka). Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and data integration frameworks. Strong problem-solving skills and ability to work ...

. Hands-on skills in data pipelines, ETL/ELT, distributed processing, APIs and data architecture. Experience with modern tooling (Databricks, Spark, Synapse, Snowflake, BigQuery, Kafka etc.). Excellent client-facing skills with the ability to lead technical and strategic conversations. Consulting experience and confidence working in complex, evolving ...

deliver intelligent data products, leveraging modern cloud and AI technologies. Key Responsibilities Design and implement robust data pipelines and ML workflows using Python, SQL, Spark, and Databricks. Develop and deploy machine learning models (including NLP, deep learning, and agentic AI) in production environments. Integrate data from diverse sources, including ...

Model Lifecycle & Governance MLflow, Databricks Model Serving, Unity Catalog Feature stores (Databricks Feature Store, Feast) Model monitoring and governance platforms Data Engineering Databricks Lakehouse, Spark Kafka/Confluent Delta Lake Airflow/Databricks Workflows Cloud Platforms Azure, AWS, or GCP (experience with at least one) Data Science & Optimisation Python ...

model lifecycle management Experience with NLP, deep learning, or computer vision Knowledge of data visualisation tools (Power BI, Tableau) Exposure to big‐data technologies (Spark, Hadoop) AWS certifications Experience supporting government or highly regulated environments Clearance Requirements: Clearance to Start BPSS Clearance for Role SC Applicants must have ...

TypeScript, JavaScript Machine Learning: TensorFlow, PyTorch, Scikit-learn GenAI/LLMs: OpenAI API, Hugging Face Transformers, LangChain, Langraph, RAG pipelines Data & Analytics: Pandas, NumPy, Spark, Databricks, Hadoop, Vector Databases, Snowflake Model Deployment: MLflow, FastAPI, Flask, Docker, Kubernetes Cloud & Infrastructure: AWS, Azure, GCP CI/CD pipelines (GitLab, Jenkins) Desirable ...

with attention to detail and accuracy. Adept at queries, report writing, and presenting findings. Experience working with large datasets and distributed computing tools (Hadoop, Spark, etc.) Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, etc.). Experience with data profiling tools and processes. Knowledge ...