76 to 100 of 306 Apache Spark Jobs in London

Lead Data Engineer (Databricks) - London (Hybrid) - Up to £110,000 Databricks - Apache Spark - Delta Lake - Python - SQL - Azure We're partnering with a growing technology business investing heavily in its cloud data platform and AI capabilities. This is a senior, hands-on leadership role where … machine learning and large-scale data initiatives. Key Experience Required Proven experience as a Senior or Lead Data Engineer. Deep expertise in Databricks, Spark, Delta Lake, Python and SQL. Experience designing and scaling cloud-based data platforms. Strong knowledge of ETL/ELT, data modelling and distributed processing. Experience ...

decisions, documentation and continuous improvement initiatives. Key Skills & Experience Proven experience as a Data Engineer within production environments. Strong hands-on experience with Databricks, Apache Spark, Delta Lake, Python and SQL. Experience building and supporting scalable ETL/ELT pipelines. Strong understanding of distributed data processing and data ...

progression taking customers from EDW to the full capabilities of the Data Intelligence Platform.Demonstrated competence in the Lakehouse architecture including hands-on experience with Apache Spark, Python and SQLExcellent communication skills; both written and verbalPublic Cloud Architecting: Hands-on experience designing and implementing big data architectures within major ...

taking customers from EDW to the full capabilities of the Data Intelligence Platform. Demonstrated competence in the Lakehouse architecture including hands-on experience with Apache Spark, Python and SQL Excellent communication skills; both written and verbal Public Cloud Architecting: Hands-on experience designing and implementing big data architectures ...

/CloudFormation). Cloud experience with AWS, Azure or GCP (networking, IAM, storage, compute), including secure architecture principles. Experience with data platforms and pipelines (Spark, Airflow, Kafka, dbt or similar) and working with large-scale datasets. Knowledge of model serving patterns (REST/gRPC, batch scoring, streaming inference ...

Experience with data warehousing concepts and technologies.Knowledge of other BI tools (e.g., Tableau, Looker) and data modelling techniques.Familiarity with big data technologies (e.g., Hadoop, Spark).Familiarity with modern data architecture (e.g., Data Mesh, Fabric).An understanding of infrastructure as code (e.g., Terraform)Experience with CI/CD pipelines ...

Advanced experience operating Delta tables at scale, covering transaction semantics, schema evolution, partitioning, and compaction, alongside highly optimised analytical query execution using DuckDB or Apache Spark.• Production-grade relational database expertise, particularly PostgreSQL (query tuning, indexing, partitioning, replication, and schema design across OLTP and analytics).• Strong KDB experience ...

GCP. · MSc or equivalent experience in Data Science, Statistics, Mathematics, Computer Science, Artificial Intelligence, Physics, Engineering or a related quantitative discipline. · Experience with Spark or distributed data processing frameworks. · Experience preparing data pipelines or analytical datasets to support machine learning workloads. · Awareness of data engineering, data architecture, data governance ...

experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP)Working knowledge of distributed data systems: Apache Spark, Delta Lake, or equivalent (Hadoop, Kafka, Flink)Experience leading technical customer conversations — discovery, whiteboarding, architecture reviewsFamiliarity with one or more: data engineering … Science, Engineering, or a quantitative discipline (or equivalent experience)Nice to Have:Databricks certification or experience with the Databricks PlatformExperience with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflowBackground at a data/AI company, cloud provider, or technical consulting firmInterview Process: Recruiter Screen Hiring Manager Screen Design ...

used in modern AI systems Strong Python programming experience A habit of making, and justifying, architectural calls, not just executing them Nice to Have: Apache Spark, Airflow, Kafka, Elasticsearch/OpenSearch, MongoDB, Qdrant/Milvus/pgvector, Pandas/Polars, cloud infra (GCP/AWS/Azure ...

used in modern AI systems Strong Python programming experience A habit of making, and justifying, architectural calls, not just executing them Nice to Have: Apache Spark, Airflow, Kafka, Elasticsearch/OpenSearch, MongoDB, Qdrant/Milvus/pgvector, Pandas/Polars, cloud infra (GCP/AWS/Azure ...

stakeholders, and business leaders.Strong presentation, demo, and storytelling skills, with the ability to explain complex technical concepts clearly and credibly.Familiarity with SQL, Python, R, Apache Spark, or similar technologies is a plus.Experience with Alteryx or similar analytics platforms is highly desirable.Ability to work independently in a fast-paced ...

grade code Distributed Data Processing Experience building and operating: batch processing systems distributed data systems near real-time streaming pipelines Familiarity with: Kafka Flink Spark Databricks experience is a strong plus Databases & Data Warehousing Comfortable working with: RDBMS data warehousing solutions Strong understanding of data modelling aligned with business ...

Experience working for a software vendor, SaaS provider, or professional services organisation. Familiarity with Ataccama or similar enterprise data platforms. Exposure to Hadoop/Spark, NoSQL, XSLT, Hive, Kafka, Snowflake, or Databricks. Python or other programming languages. Familiarity with SDLC, code management and upgrades, and Unix/Linux. Perks ...

experience designing and implementing multi‐agent architectures Enterprise AI Integration & Data API‐ and event‐driven integration of AI into enterprise workflows Data platforms: Databricks, Spark, Snowflake; streaming via Kafka Backend & Distributed Systems Languages: Python (expert), Java/Spring Boot (enterprise standard), Go (plus) Architecture: Microservices, domain‐driven design, event ...

plusWhat it takesMust-Have Skills & ExperienceDeep expertise designing and building scalable data pipelines and data products in cloud environmentsStrong hands-on experience with Databricks, Spark, SQL, and PythonExperience developing and optimizing batch and real-time data processing solutionsStrong understanding of modern data architecture patterns, including Kimball, Data Vault, dimensional ...

control, and Responsible AI/MRM compliance Enterprise AI Integration & Data API- and event‐driven integration of AI into enterprise workflows Data platforms: Databricks, Spark, Snowflake; streaming via Kafka Backend & Distributed Systems Languages: Python (expert), Java/Spring Boot (enterprise standard), Go (plus) Architecture: Microservices, domain‐driven design, event ...

Collaborate with cross-functional teams to align data architecture with financial regulations (e.g., GDPR, Basel III, MiFID II). Drive adoption of Delta Lake , Apache Spark , and MLflow for advanced analytics and machine learning use cases. Provide technical leadership and mentoring to data engineers and analysts across financial ...

security Practical cloud-native experience Preferred Qualifications, Capabilities, and Skills: Experience with modern data technologies such as Databricks or Snowflake Hands-on experience with Spark/PySpark and other big data processing technologies Demonstrated proficiency in software applications and technical processes within disciplines such as data engineering, cloud, artificial ...

projects from concept to production.Strong knowledge of Python and core ML libraries (e.g., spaCy, NumPy, SciPy, Transformers).Understanding of big data and cloud technologies (Spark, Hadoop, Azure, AWS, or GCP).Deep expertise in MLOps principles, scalable model deployment, model governance, and the practical application of responsible AI within enterprise ...

from concept to production. Strong knowledge of Python and core ML libraries (e.g., spaCy, NumPy, SciPy, Transformers).Understanding of big data and cloud technologies (Spark, Hadoop, Azure, AWS, or GCP).Deep expertise in MLOps principles, scalable model deployment, model governance, and the practical application of responsible AI within enterprise ...

application resiliency, and securityPractical cloud-native experiencePreferred Qualifications, Capabilities, and Skills:Experience with modern data technologies such as Databricks or SnowflakeHands-on experience with Spark/PySpark and other big data processing technologiesDemonstrated proficiency in software applications and technical processes within disciplines such as data engineering, cloud, artificial intelligence ...

application resiliency, and securityPractical cloud-native experiencePreferred Qualifications, Capabilities, and Skills:Experience with modern data technologies such as Databricks or SnowflakeHands-on experience with Spark/PySpark and other big data processing technologiesDemonstrated proficiency in software applications and technical processes within disciplines such as data engineering, cloud, artificial intelligence ...

prompt/version control, and Responsible AI/MRM complianceEnterprise AI Integration & DataAPI- and event-driven integration of AI into enterprise workflowsData platforms: Databricks, Spark, Snowflake; streaming via KafkaBackend & Distributed SystemsLanguages: Python (expert), Java/Spring Boot (enterprise standard), Go (plus)Architecture: Microservices, domain-driven design, event-driven systemsAPIs ...

Data Engineer (Python SQL Spark Azure Databricks) London to 160kAre you a tech savvy Data Engineer with a first class education? You could be progressing your career working on complex and challenging systems at a Hedge Fund with over $17 billion under management. What … Python or C# and SQL, experience with version control and contributing to a shared codebasesYou have experience with modern data tools and technologies including Apache Spark and Azure Databricks preferredYou have a strong knowledge of data management principles and best practicesYou have experience with data analysis, visualisation tools ...