1 to 25 of 36 Apache Spark Jobs in London

Design, build, and maintain cloud-based infrastructure using AWS Develop and manage Infrastructure as Code using Terraform Support and optimise data processing pipelines using Apache Spark and Airflow Collaborate with cross-functional teams to deliver secure and scalable solutions Implement CI/CD pipelines using GitLab Containerise applications … Notebooks for data exploration and development Key Skills & Experience Strong experience with AWS services Expertise in Terraform (Infrastructure as Code) Hands-on experience with: Apache Spark Python Apache Airflow Docker GitLab CI/CD Experience with security scanning tools such as: Trivy Trend Micro Wiz (or similar ...

Highly competitive Status: Inside IR35 Working pattern: Full time We are seeking an experienced Technical Delivery Lead with strong expertise in Python, Databricks, and Apache Spark to lead the successful delivery of enterprise-scale data engineering initiatives.. This is a hands-on leadership role combining technical delivery, solution … Technical Delivery Lead position. Strong hands-on expertise with Python. Extensive experience with Databricks, including Workflows, Notebooks, and Delta Lake. Strong experience with Apache Spark/PySpark. Proven track record building and optimising large-scale ETL/ELT pipelines. Strong understanding of modern data architecture and Lakehouse principles. ...

designing and delivering modern data platforms, working closely with clients and technical teams to build scalable, secure and high-performing solutions using Databricks, Apache Spark and cloud technologies. You'll also play a key role in pre-sales activities, solution design, and helping to drive strategic Databricks initiatives … Databricks and modern data platform delivery. Skills & Experience Required 7+ years' experience in Data Architecture or Solution Architecture. Strong commercial experience with Databricks and Apache Spark . Experience delivering enterprise data platforms on AWS, Azure or GCP. Strong understanding of data warehousing, data lakes and lakehouse architectures. Experience ...

Labelled property graphs Hypergraph structures Entity resolution Graph schema design Data Engineering & Integration Pipeline Development Data Integration Languages & Tools ETL/ELT pipeline design Apache Kafka Apache Spark AWS Glue dbt Apache Airflow Entity matching and resolution Data lineage tracking Schema mapping Semantic data integration Metadata ...

data solutions. Key Responsibilities Design, develop, and maintain scalable data pipelines using Python and Databricks Build and optimise ETL/ELT workflows leveraging Databricks (Spark, Delta Lake) Develop robust data models and data architectures on Lakehouse platforms Implement and manage data workflows within the Databricks ecosystem Ensure high data … Experience Extensive experience in data engineering Strong programming expertise in Python Hands-on experience with Databricks (workflows, notebooks, jobs, Delta Lake) Strong experience with Apache Spark/PySpark Experience building scalable ETL pipelines Proficiency in SQL and relational databases Experience with cloud platforms (AWS/Azure/ ...

optimising ETL/ELT pipelines. Strong understanding of Lakehouse, Data Warehouse, and Data Lake architectures. Experience with Azure Data Factory, Azure Synapse, and Apache Spark. Knowledge of data modelling, semantic models, and enterprise reporting solutions. Experience implementing data governance, security, and quality frameworks. Strong understanding of modern data engineering ...

skills and understanding of modern data engineering principles. Desirable Skills Python and PySpark development. AWS services including EMR, S3, Lambda, Athena, and Redshift. Apache Spark and large-scale batch processing. Terraform, CI/CD pipelines, and Infrastructure as Code. Git/GitLab and modern software development practices. ...

clouds (AWS, Azure, GCP) and cloud data warehousing solutions like Snowflake and Databricks. Certifications with each are a plus. Understanding of SQL, Python, R, Apache Spark or similar product or language are also a plus.* Strong knowledge of data analytics, data science, ETL processes, AI/ML workflows ...

data models and ETL processes, to support the construction of scalable and efficient data systems. Familiarity with big data tools like DuckDB, Polars or Apache Spark for processing out-of-memory datasets" . Proven experience collaborating with first-team stakeholders within a professional sports environment, demonstrating strong interpersonal ...

capacity planning, skills development, and vendor contributions The individual: Expertise in Azure data services (ADLS, ADF, Databricks, Synapse, Event Hub/Kafka), Python, SQL, Spark/PySpark. Experience with data modeling, metadata and lineage tooling; performance & cost optimization. Proven leadership in engineering teams; Agile/DevOps ways of working ...

Oracle). Comprehensive knowledge of European and international gas and power markets, covering physical and financial trading, forward/futures/options, basis risk, spark and dark spreads, gas balancing, power scheduling, nominations, LNG and cross-commodity optimisation. Proven track record of defining and delivering enterprise-level architecture ...

experience with SQL and data modelling concepts Strong analytical and problem-solving skills Nice to Have Skills Experience with data pipeline tools (Airflow, Kafka, Spark) Knowledge of cloud platforms (AWS, Azure or GCP) Familiarity with relational and NoSQL databases Additional programming experience (Python, Scala) Essential Requirements Active SC Clearance ...

experience with the SQL Server platform and T-SQL querying. Familiarity with cloud data platforms (e.g., AWS, Azure) and big data technologies (e.g., Kafka, Spark, Databricks, Snowflake). Expert-level knowledge of building ETL processes in Python. Expert-level knowledge of performance tuning and optimization in a Python/ ...

appetite to further expand their Financial Services knowledge Software development experience in an Object Oriented (Java preferred) language; in addition exposure to Python, Spark, Map-Reduce, Scala advantageous Deep knowledge of RDBMS (Oracle 11g-26ai preferred), with understanding of multi-terabyte database design, including ETL, OLAP, OLTP and Data ...

focus areas: Building scalable data pipelines using Apache Spark & Airflow Working within a cloud-based, containerised environment (Kubernetes) Contributing to a wider data platform modernisation programme Supporting both batch and streaming workloads Tech: Python, Java, Spark, Airflow, SQL, Cloud (AWS/Azure), Kubernetes (Kafka/streaming nice ...

Senior Data Engineer (Scala/Spark) London | Hybrid Working | Initial 12 month contract | £450-550pd PAYE + holiday pay We are partnering with a world-leading technology organisation seeking an experienced Senior Data Engineer to join a high-performing engineering team responsible for building and operating large-scale … machine learning workflows at scale. As a Senior Data Engineer, you will design, build and operate large-scale batch data pipelines using Scala and Apache Spark. Working alongside Machine Learning Engineers, Researchers and Platform Engineers, you will help develop the infrastructure and tooling required to process vast datasets ...

internal knowledge Competencies and Behaviours: 3+ years experience in data platform engineering, cloud engineering, or similar roles Strong hands-on experience with Databricks, including Apache Spark, Delta Lake, Workflows Proven experience designing and deploying data platforms on AWS and/or Azure (e.g. ADLS, S3, VNet/ ...

monitoring Experience with cloud platforms (e.g. AWS, Azure, or GCP) and containerisation (Docker, Kubernetes) Experience building data pipelines and working with large datasets (SQL, Spark or similar) Strong understanding of machine learning algorithms and statistical modelling techniques Experience collaborating across data science and engineering teams Machine Learning Engineer, Python ...

Prometheus, ElasticSearch , Grafana, OpenTelemetry ) for metrics, logs and traces Platform Technologies & BSS Vendor Platforms - Open source workflow engines (Temporal) - Stream/batch processing (Flink, Spark) - Test automation: Robot Framework and BDD - can review BDD robot files - BSS vendor platforms: Salesforce, Amdocs, Ciena - BSS/OSS proficiency: awareness of Product ...

experience in software engineering, MLOps, and deploying machine learning models at scale. Proficiency in SQL, Python, and familiarity with big data technologies (e.g., Kafka, Spark) and/or cloud platforms (e.g., GCP, AWS, or Azure). Industry knowledge: Experience in gaming or digital entertainment is a strong plus. ...

environments Strong experience designing large-scale, cloud-based data platforms Deep expertise in AWS services, including EC2, S3, RDS, Lambda, Redshift Proven experience with Apache Flink and real-time streaming architectures Strong background in: Data modelling ETL/ELT processes Data warehousing and distributed systems Experience leading, mentoring …/security-focused environments Strong understanding of data governance, standards, and architecture frameworks Desirable Skills Experience with Azure or GCP Knowledge of Scala and Apache Spark Familiarity with DevOps practices and cloud-native delivery models Experience working alongside cyber security teams on secure systems Security Requirements Must currently ...

large-scale analytics platforms Expert knowledge of Quantexa, Entity Resolution (ER), Scoring Framework, Contextual Network Generation Expertise in Big Data technologies, including: Scala, Apache Spark, Hadoop, ElasticSearch Strong stakeholder management and communication skills - capable of interfacing with both business and technical audiences. The work is heavily weighted toward ...

Core Java Spring Boot frameworks Proven experience building distributed backend systems Hands-on experience with Kafka (or similar streaming platforms) Experience with Scala and Apache Spark for data processing Integration withbackend services such as: PostgreSQL Redis S3 (or equivalent object storage) Expertise in modern engineering practices, including: Continuous ...

data extraction, transformation, and pipeline development Experience with dashboarding and visualization tools (Tableau, Qlik, or similar) Familiarity with big data tools (Snowflake, Databricks, Spark) and ETL processes Experience with Python or R for advanced analytics, automation, or experimentation Knowledge of statistical methods and experimentation (A/B testing) preferred ...

Experience with: Relational databases (SQL Server, PostgreSQL, Oracle, MySQL) Data visualisation tools (Power BI, Tableau, Spotfire) Cloud platforms, particularly Microsoft Azure Big data technologies (Spark, Elasticsearch, Hadoop) Statistical modelling and advanced analytics Machine learning and pattern recognition techniques Web technologies such as HTML and JavaScript ...