1 to 25 of 30 Apache Spark Jobs in London

Data Engineer 6 Month Contract Location: London (Onsite 4 days a week) Rate: £700 - £800 per day (INSIDE IR35) Skills: Python, Azure, Kubernetes, Apache Airflow, Apache Spark, DV Clearance We are looking to recruit a DV Cleared Data Engineer for a leading technology consultancy. This will … Work across Azure environments on the low side Support data engineering workloads within Kubernetes environments on the high side Develop and maintain workflows using Apache Airflow Work with Apache Spark for large-scale data processing Support the ongoing development and improvement of established data pipelines Help ensure ...

related disciplines within enterprise environments 4+ years of hands-on experience designing and implementing solutions on the Databricks Lakehouse Platform Strong expertise in Apache Spark, SQL, Python, Delta Lake, and modern data engineering practices Experience building and optimizing Extract, Transform, Load and Extract, Load, Transform data pipelines … solutions on the Databricks Lakehouse Platform. Design and implement scalable data and analytics solutions leveraging Databricks technologies Build, maintain, and optimize data pipelines using Apache Spark, SQL, Python, and Delta Lake Develop governed datasets and data products that support reporting, analytics, and artificial intelligence initiatives Partner with business ...

hands-on Senior Databricks Solutions Architect to support a complex, high-performance data platform within a global organisation. Youll design and optimise Spark workloads, build production streaming pipelines and deliver scalable Databricks solutions using Delta Live Tables, Workflows, Unity Catalog, Python, PySpark, Terraform and Databricks Asset Bundles. Key requirements … Advanced Apache Spark and Spark SQL optimisation Production Spark Structured Streaming experience Deep Databricks platform knowledge Strong Python and PySpark engineering capability Delta Live Tables, Workflows and Unity Catalog Terraform and Databricks Asset Bundles CI/CD and GitHub Actions Ability to work autonomously ...

Experience of working in an Agile delivery team Strong analytic skills related to working with unstructured datasets Python (PySpark, Pandas, PyArrow) Distributed data processing (Apache Spark) Data ETL (Apache Airflow, AWS Step Functions, Apache NiFi) Cloud services (AWS, Azure or GCP) Messaging/Streaming (Kafka ...

Senior Data Engineer Role (Python/Spark/Databricks) - Hybrid - Contract - Banking Role - Senior Data Engineer Rate - £850 p/d (Inside IR35) Duration - 6 months with very likely extension Location - Hybrid/Liverpool Street (London) - 3 days per week in a Liverpool Street office About the Role Global … delivering critical data platforms and analytics capabilities across the business. This is a genuinely hands-on engineering role, requiring strong expertise in Python, Databricks, Spark/PySpark and SQL. The successful candidate will be actively involved in the design, development, optimisation and support of enterprise-scale data platforms, working ...

Flask, Tornado or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Hands ...

expertise: Platform Experience: Strong, hands-on experience with Databricks or Snowflake on AWS. Programming & Orchestration: Proven Python skills, including deep expertise in PySpark (or Spark) and Airflow. Data Modelling: Advanced SQL skills and extensive experience with end-to-end data modelling. Data Integration: Proven experience building both batch ...

Data Engineer 6 Month Contract Location: London (Onsite 4 days a week) Rate: £700 - £800 per day (INSIDE IR35) Skills: Python, Azure, Kubernetes, Apache Airflow, Apache Spark, DV Clearance We are looking to recruit a DV Cleared Data Engineer for a leading technology consultancy click apply ...

Excellent Python and SQL Solid grasp of data modelling, warehousing and lakehouse concepts Hands-on with orchestration (e.g. Airflow, Dagster) and distributed processing (e.g. Spark) Experience with cloud data platforms (AWS, Azure or GCP) and containerised deployment (Docker, Kubernetes) Good engineering practice: version control, CI/CD, testing ...

collaboration skills. Desirable Experience Experience with AWS services such as S3, Glue, Lambda, Step Functions, Redshift or related data engineering technologies. Familiarity with Apache Spark, Airflow, distributed processing, data lakes and data warehouses. Experience with infrastructure as code, Docker or automated deployment pipelines. Background in government, defence, national ...

Must-Have Skills & Experience Deep expertise designing and building scalable data pipelines and data products in cloud environments Strong hands-on experience with Databricks, Spark, SQL, and Python Experience developing and optimizing batch and real-time data processing solutions Strong understanding of modern data architecture patterns, including Kimball, Data ...

Must-Have Skills & Experience Deep expertise designing and building scalable data pipelines and data products in cloud environments Strong hands-on experience with Databricks, Spark, SQL, and Python Experience developing and optimizing batch and real-time data processing solutions Strong understanding of modern data architecture patterns, including Kimball, Data ...

Must-Have Skills & Experience Deep expertise designing and building scalable data pipelines and data products in cloud environments Strong hands-on experience with Databricks, Spark, SQL, and Python Experience developing and optimizing batch and real-time data processing solutions Strong understanding of modern data architecture patterns, including Kimball, Data ...

environments Owning the cloud infrastructure underpinning data systems through a DevOps approach Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop Good understanding of the possible architectures involved in modern data system design (e.g. Data Warehouse, Data Lakes and Data ...

with the modern data stack, building data ingestion pipelines and working with ETL and orchestration tools (e.g., Airflow, Luigi, Argo, dbt), big data technologies (Spark, Kafka, Parquet), and web frameworks for model serving (e.g. Flask or FastAPI). Data Science: Familiarity or experience with classical NLP techniques (BERT, topic ...

PySpark, and dbt Build and optimize batch and streaming data pipelines with strong performance, fault tolerance, and observability Develop and operate workflow orchestration (e.g., Apache Airflow) to schedule, monitor, and manage data movement and transformations Model and transform data for analytics using SQL and dbt to support business intelligence … distributed data processing and performance tuning Hands-on experience with modern data warehousing/lakehouse technologies (e.g., Redshift, BigQuery, Snowflake; and engines such as Spark, Flink, or Trino; and table formats such as Iceberg, Hudi, or similar) Strong SQL skills and experience with SQL-based transformation tooling (e.g. ...

PySpark, and dbt Build and optimize batch and streaming data pipelines with strong performance, fault tolerance, and observability Develop and operate workflow orchestration (e.g., Apache Airflow) to schedule, monitor, and manage data movement and transformations Model and transform data for analytics using SQL and dbt to support business intelligence … distributed data processing and performance tuning Hands-on experience with modern data warehousing/lakehouse technologies (e.g., Redshift, BigQuery, Snowflake; and engines such as Spark, Flink, or Trino; and table formats such as Iceberg, Hudi, or similar) Strong SQL skills and experience with SQL-based transformation tooling (e.g. ...

PySpark, and dbt Build and optimize batch and streaming data pipelines with strong performance, fault tolerance, and observability Develop and operate workflow orchestration (e.g., Apache Airflow) to schedule, monitor, and manage data movement and transformations Model and transform data for analytics using SQL and dbt to support business intelligence … distributed data processing and performance tuning Hands-on experience with modern data warehousing/lakehouse technologies (e.g., Redshift, BigQuery, Snowflake and engines such as Spark, Flink, or Trino and table formats such as Iceberg, Hudi, or similar) Strong SQL skills and experience with SQL-based transformation tooling (e.g. ...

Feast, AWS Feature Store) Experience with containerisation (Docker) and orchestration (Kubernetes, ECS) Familiarity with Infrastructure as Code (Terraform, CloudFormation) Experience with data processing frameworks (Spark, Dask) for large-scale workloads Understanding of data governance and compliance frameworks Experience working in regulated industries (finance, healthcare, or similar) Security Clearance ...

cost optimisation principles, with the ability to apply this knowledge to multi-cloud and cloud-agnostic solution designs at enterprise scale Knowledge of major Apache spark data platform services and their associated architectures Leadership Essential Evidence of providing clear direction through communicating the strategic vision, adopting a corporate ...

with experience shaping technical direction across teams and stakeholders Solid expertise in relevant technologies such as AWS, Terraform, Kafka/MSK, Airflow, Glue or Spark, and building scalable data solutions Experience with modern data ecosystems including data lakes/lakehouse architectures, Iceberg or similar table formats, as well ...

understanding of statistics, machine learning methodologies, and model evaluation. Experience delivering AI solutions from proof-of-concept through to production. Exposure to Databricks, MLflow, Spark, or similar cloud-based data platforms. Ability to influence senior stakeholders and lead technical strategy Desirable Experience Experience building multi-agent AI systems ...

essential: Background in financial services or regulated environments. Exposure to financial crime domains such as fraud, AML or sanctions. Experience with Spark or PySpark. Familiarity with AWS cloud services and data platforms. You will be assessed on key capabilities relevant to the role, including risk and controls, change ...

essential: Background in financial services or regulated environments. Exposure to financial crime domains such as fraud, AML or sanctions. Experience with Spark or PySpark. Familiarity with AWS cloud services and data platforms. You will be assessed on key capabilities relevant to the role, including risk and controls, change ...

essential: • Background in financial services or regulated environments. • Exposure to financial crime domains such as fraud, AML or sanctions. • Experience with Spark or PySpark. • Familiarity with AWS cloud services and data platforms. You will be assessed on key capabilities relevant to the role, including risk and controls, change ...