16 of 16 Remote/Hybrid Apache Spark Jobs in London

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 ...

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 ...

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 ...

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 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 ...

well-documented data transformation; a clear point of view on semantic modeling and metric layer design. Fluency in Python and SQL; comfort with Spark for large-scale data processing and transformation. Experience with modern data ingestion patterns across structured, unstructured, CDC, API, and streaming sources (ADF, Kafka, Event Hubs ...

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 ...

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 ...

loop, calibration, guardrails, auditability) Experience with hyperparameter tuning at scale and experimentation frameworks Strong technical experience with SQL and Python; significant experience with Spark for large-scale data processing Excellent interpersonal skills with demonstrable collaborative leadership capabilities (coaching, mentoring, guiding, delivery ownership and stakeholder engagement) and strong standards ...

work on a Big Data Project in the finance sector. Required Experience: Java Big Data experience On-premises cluster experience Databases Kubernetes Kafka Apache Spark Preffered Experience: Finance sector experience ...

insights that drive the AI product roadmap forward. Tech Stack Includes : AWS: EC2, Athena, S3, Kinesis, Lambda, Step Functions, RDS, QuickSight Languages & Frameworks: Python, Spark, TensorFlow, LLMs & LLM coding tools Databases & Search: MySQL, PostgreSQL, SOLR Requirements Experience: Minimum 3 years of post-degree commercial experience in a data science ...

Purpose of position Data sits at the heart of the company. This role ensures that Awin can fully leverage the data available across the group, enabling the development of robust reporting capabilities that support stronger ...

solving complex challenges and improving data quality as the platform scales. ·The environment is modern and cloud based, with exposure to technologies such as Spark, Snowflake and BigQuery across AWS, GCP and Azure. ·You will have the opportunity to support and mentor other engineers, contribute to engineering standards … engineers What We Are Looking For ·Proven Python and SQL experience within production environments ·Experience delivering data transformation projects end to end ·Experience with Spark, Snowflake, BigQuery or similar technologies ·Solid experience working with AWS, GCP or Azure ·Comfortable working with complex, imperfect datasets ·Experience owning solutions from design ...