1 to 25 of 46 Apache Spark Jobs in London

/ELT) to support analytics and downstream use cases Developing scalable data solutions using Python , with a focus on maintainability and performance Working with Apache Spark/PySpark to process and transform large datasets Supporting the ingestion, transformation and validation of complex financial data Improving the performance, reliability … That Will Help You Succeed Essential Commercial experience as a Data Engineer at a mid‐level Strong Python development skills Hands‐on experience with Apache Spark/PySpark Solid experience building ETL/ELT pipelines Background within the financial services industry (investment management experience desirable) Comfortable working with ...

urgently require a Data Platform Engineer with core strengths in Building and Operating Data Platforms, and hands on expertise in Azure Services, Synapse Spark Architecture, ADF and Terraform (IaC), to assist in designing and delivering complex cloud solutions. Key Requirements: Proven, hands-on experience of Building and Operating Data … Advanced knowledge of Azure Services Demonstrable experience with Azure Data Factory (ADF), including network configurations and integration runtime options Strong expertise in Synapse Analytics Spark, Azure Key Vault, and Data Lake Storage Accounts Ability to showcase DevOps and CI/CD capabilities Working knowledge of designing and deploying infrastructure ...

Lead, Data Engineering Manager etc. Proven success with modern data infrastructure: distributed systems, batch and streaming pipelines Hands-on knowledge of tools such as Apache Spark, Kafka, Databricks, DBT or similar Experience building, defining, and owning data models, data lakes, and data warehouses Programming proficiency in the likes ...

Excellent communication and documentation skills. · Ability to work independently and lead cross-functional teams. · Adaptability to rapidly evolving technological environments PREFERRED SKILLS · Airflow, dbt, Spark, Kafka, RabbitMQ, Redis. · Git, CI/CD pipelines. · Experience with data warehousing solutions such as Snowflake, Redshift, BigQuery, or Synapse. · Exposure to AI/ ...

Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices - code reviews, testing ...

platform, features, and best practices with Strong understanding of data modeling principles and techniques A solid understanding of big data technologies such as Apache Spark, and knowledge of Hadoop ecosystems. Knowledge of programming languages such as Python, R, or Java is beneficial. Knowledge of ETL/ELT processes ...

data warehousing concepts, and distributed computing. Familiarity with CI/CD, version control, and DevOps practices. Nice-to-Have Experience with streaming technologies (e.g., Spark Structured Streaming, Event Hub, Kafka). Knowledge of MLflow, Unity Catalog, or advanced Databricks features. Exposure to Terraform or other IaC tools. Experience working ...

Knowledge of machine learning frameworks (e.g., PySpark, PyTorch) and model deployment tools (e.g., MLflow, TensorFlow Serving). Strong experience with data processing frameworks (e.g., Apache Spark, Flink). Expertise in SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra). Hands-on experience with cloud platforms (e.g. ...

similarly regulated industry. Strong coding skills in Python or Java (Spring Boot); React experience is a plus. Proficiency with modern data tools: Airflow, Spark, Kafka, dbt, Snowflake or similar. Experience with cloud platforms (AWS, Azure, GCP), containerization (Docker, Kubernetes), and CI/CD. Data Quality: Proven ability to validate ...

schema). Version Control Practical experience with Git (branching, merging, pull requests). Preferred Qualifications (A Plus) Experience with a distributed computing framework like Apache Spark (using PySpark). Familiarity with cloud data services ( AWS S3/Redshift, Azure Data Lake/Synapse, or Google BigQuery/Cloud … Storage ). Exposure to workflow orchestration tools ( Apache Airflow, Prefect, or Dagster ). Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. ...

Solid understanding of data warehousing, lakehouse and datalake architectures Familiarity with modern data engineering patterns (ETL/ELT, medallion architecture, observability) Experience working with Apache Spark and large-scale data processing For a full consultation on this exciting new role, please get in touch with ARC IT Recruitment ...

lakehouse and datalake architectures Familiarity with modern data engineering patterns (ETL/ELT, medallion architecture, observability) Excellent Python and SQL skills Experience working with Apache Spark and large-scale data processing For a full consultation on this exciting new role, please get in touch with ARC IT Recruitment ...

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 ...

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 ...

technology (AWS or Azure). Strong experience with creation of data ingestion pipeline and ET process. Strong knowledge of big data tool such as Spark, Databricks and Python. Strong understanding of common machine learning techniques and frameworks (e.g. mlflow). Strong knowledge of Natural language processing (NPL) concepts. Strong ...

teams Strong background in cloud data platforms and modern data architectures Hands-on expertise with Python , data modelling, ETL, and big data technologies (e.g. Spark) Experience operating in regulated or complex enterprise environments Excellent stakeholder management and communication skills Comfortable working with ambiguity and driving change Nice to have ...

engineering and ability to handle large dataset for business insights. Experience with model governance including explainability, observability and documentations Scala and Python knowledge desirable, Apache Spark, Azure platform knowledge is a plus Strong knowledge of SQL Strong Analytical, machine learning and deep learning skills Please send ...

coding skills in Java (Spring Boot) for data engineering and services. Proven background working within financial services environments. Hands-on experience building and managing Apache Airflow/Spark and Hadoop clusters. Deep experience in big data engineering, including Hadoop, Kafka, and Spark-based data pipelines. Strong ...

+ 10% bonus + benefits Purpose: Build and maintain large, scalable Data Lakes, processes and pipelines Tech: Python, PySpark, AWS, Iceberg/Kafka, Spark/Glue, CI/CD Industry: Financial services/securities trading Immersum continue to support a leading SaaS securities trading platform, who are hiring … Infra tooling using Terraform, Ansible and Jenkins whilst automating everything with Python Tech (experience in any listed is advantageous) Python Cloud: AWS Lake house: Apache Spark or AWS Glue Cloud Native storage: Iceberg, RDS, RedShift, Kafka IaC: Terraform, Ansible CI/CD: Jenkins, Gitlab Other platforms such ...

Data Analytics Sales Executive - Data Sales, Talend, Snowflake, Apache Spark, Kafka, Dataops, AWS, Azure, Data visualisation, SQL, ETL, Pre-Sales, Account Manager, SaaS Sales, Cloud Solutions, Digital Transformation, Business Development, Sales Consultant, CXO Engagement, Strategic Accounts, Deal Negotiation, Remote Working, UK-wide, Permanent Role, Sales Targets, New Business ...

engineers, setting technical standards and driving best practices across the organisation. The role demands hands-on expertise with Azure, big data technologies like Spark and Hadoop, and programming languages including Python. You will also oversee database architecture, data modelling, and ETL processes to ensure seamless integration across multiple platforms ...

models, transformers, retrieval models). Hands-on experience with LLMs and GenAI technologies. Strong programming and problem-solving skills with proficiency in Python, SQL, Spark, and Hive. Deep understanding of classical and modern ML techniques, A/B testing methodologies, and experiment design. Solid background in ranking, recommendation ...

Messaging Technologies with a good understanding of Kubernetes, Dockers and preferably some exposure to GCP (Google Cloud Platform), ReactJS, Python, Big Data Technologies like Spark, Beam Excellent personal organisation, completer/finisher, consensus builder with excellent communication skills and able to lead global development teams both directly ...

extracting, manipulating, and preparing data from relational databases. Experience with NoSQL databases is a plus. Big Data/Cloud: Experience with big data tools ( Spark, Hadoop ) and cloud computing platforms ( AWS, Azure, or GCP ) for scalable ML workflows. Visualization: Ability to create clear, compelling data visualizations using tools like ...