London, England, United Kingdom Hybrid / WFH Options
Rein-Ton
Need to See from You Qualifications Proven experience as a Data Engineer with a strong background in data pipelines. Proficiency in Python, Java, or Scala, and big data technologies (e.g., Hadoop, Spark, Kafka). Experience with Databricks, Azure AI Services, and cloud platforms (AWS, Google Cloud, Azure). Solid understanding More ❯
who have a variety of different skills which include some of the below. Strong proficiency in at least one programming language (Python, Java, or Scala) Extensive experience with cloud platforms (AWS, GCP, or Azure) Experience with: Data warehousing and lake architectures SQL and NoSQL databases Distributed computing frameworks (Spark, Kinesis More ❯
who have a variety of different skills which include some of the below. Strong proficiency in at least one programming language (Python, Java, or Scala) Extensive experience with cloud platforms (AWS, GCP, or Azure) Experience with: Data warehousing and lake architectures ETL/ELT pipeline development SQL and NoSQL databases More ❯
who have a variety of different skills which include some of the below. Strong proficiency in at least one programming language (Python, Java, or Scala) Extensive experience with cloud platforms (AWS, GCP, or Azure) Experience with: Data warehousing and lake architectures ETL/ELT pipeline development SQL and NoSQL databases More ❯
will too. WHAT WE NEED YOU TO HAVE EXPERIENCE IN Coding Coding/scripting experience developed in a commercial/industry setting (Python, Java, Scala or Go and SQL). Databases & frameworks Strong experience working with Kafka technologies. Working experience with operational data stores , data warehouse , big data technologies and More ❯
who have a variety of different skills which include some of the below. Strong proficiency in at least one programming language (Python, Java, or Scala) Extensive experience with cloud platforms (AWS, GCP, or Azure) Experience with: Data warehousing and lake architectures ETL/ELT pipeline development SQL and NoSQL databases More ❯
london (city of london), south east england, united kingdom
Accenture
who have a variety of different skills which include some of the below. Strong proficiency in at least one programming language (Python, Java, or Scala) Extensive experience with cloud platforms (AWS, GCP, or Azure) Experience with: Data warehousing and lake architectures ETL/ELT pipeline development SQL and NoSQL databases More ❯
UK for at least the past 5 years and being a UK national or dual UK national. Experience in prominent languages such as Python, Scala, Spark, SQL. Experience working with any database technologies from an application programming perspective - Oracle, MySQL, Mongo DB etc. Experience with the design, build and maintenance More ❯
/ELT scripts in large organisations or data platforms. Strong experience leading teams and managing individuals. Strong Python and other programming skills (Spark/Scala desirable). Experience both using and building APIs. Strong SQL background. Exposure to big data technologies (Spark, Hadoop, Presto, etc.). Works well collaboratively, and More ❯
expertise in building and managing data pipelines. Proficiency in Python, SQL, and at least one other programming language commonly used in data engineering (e.g., Scala, Java). Experience with relational databases (e.g., PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra). Familiarity with cloud platforms like AWS, Azure, or GCP for More ❯
in software development, with a strong focus on backend technologies and building distributed services. Proficiency in one or more programming languages including Java, Python, Scala or Golang. Experience with columnar, analytical cloud data warehouses (e.g., BigQuery, Snowflake, Redshift) and data processing frameworks like Apache Spark is essential. Experience with cloud More ❯
expertise in building and managing data pipelines. Proficiency in Python, SQL, and at least one other programming language commonly used in data engineering (e.g., Scala, Java). Experience with relational databases (e.g., PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra). Familiarity with cloud platforms like AWS, Azure, or GCP for More ❯
London, England, United Kingdom Hybrid / WFH Options
Rein-Ton
need to see from you Qualifications Proven experience as a Data Engineer with a strong background in data pipelines. Proficiency in Python, Java, or Scala, and big data technologies (e.g., Hadoop, Spark, Kafka). Experience with Databricks, Azure AI Services, and cloud platforms (AWS, Google Cloud, Azure). Solid understanding More ❯
technology developments to identify cutting-edge innovations for potential future projects. Requirements Expertise in development languages including but not limited to: Java/J2EE, Scala/Python, XML, JSON, SQL, Spring/Spring Boot. Expertise with RESTful web services, Spark, Kafka etc. Experience with relational SQL, NoSQL databases and cloud More ❯
who have a variety of different skills which include some of the below. Strong proficiency in at least one programming language (Python, Java, or Scala) Extensive experience with cloud platforms (AWS, GCP, or Azure) Experience with: Data warehousing and lake architectures ETL/ELT pipeline development SQL and NoSQL databases More ❯
who have a variety of different skills which include some of the below. Strong proficiency in at least one programming language (Python, Java, or Scala) Extensive experience with cloud platforms (AWS, GCP, or Azure) Experience with: Data warehousing and lake architectures SQL and NoSQL databases Distributed computing frameworks (Spark, Kinesis More ❯
audiences. Able to provide coaching and training to less experienced members of the team. Essential skills: Programming Languages such as Spark, Java, Python, PySpark, Scala, etc (minimum 2). Extensive Big Data hands-on experience (coding/configuration/automation/monitoring/security/etc) is a must. Significant More ❯
knowledge of security practices, standards, and protocols related to API development. Deep knowledge and use of at least one common programming language: e.g., Python, Scala, Java, including toolchains for documentation, testing, and operations/observability. Experience with API management platforms and tools (e.g., Apigee, AWS API Gateway, Postman). Deep More ❯
Azure services: Synapse Analytics, Data Factory, Data Lake, Databricks, Purview, SQL, Cosmos DB, and more. Proficiency in Spark, SQL, and programming languages like Python, Scala, or Java. Experience in building Lakehouse architectures using open-source table formats and tools like Jupyter notebooks. Knowledge of security best practices in cloud environments More ❯
architecture, OneLake storage design, semantic modeling, and Power BI integration best practices Hands-on experience with Microsoft Fabric and OneLake Experience with Python or Scala for data processing is preferred Exposure to CI/CD workflows and DevOps practices in a data engineering context Comfortable working in agile, collaborative environments More ❯
. Experience working with cloud platforms such as AWS, GCP, or Azure for real-time data ingestion and storage. Programming skills in Python, Java, Scala, or a similar language. Proficiency in database technologies (SQL, NoSQL, time-series databases) and data modelling. Strong understanding of data pipeline orchestration tools (e.g., Apache More ❯
Peterborough, England, United Kingdom Hybrid / WFH Options
Compare the Market
culture of innovation and challenge. Our teams of over 300 tech experts use the latest tools and technologies including Docker, Kubernetes, AWS, Kafka, Java, Scala, Python, .NET Core, Node.js, and MongoDB. There's something for everyone. We offer opportunities for growth. You'll have the tools and autonomy to develop More ❯
Have practical experience as a senior engineer in motivated teams, collaborating closely and taking pride in their work. Possess advanced knowledge of programming languages (Scala, Python, Java, C#) and understanding of domain modelling and application programming. Have experience with data management platforms (SQL, NoSQL, Spark/Databricks). Be familiar More ❯
Data Engineers passionate about data, eager to implement best practices in a dynamic environment. Proficiency in Spark/PySpark, Azure data technologies, Python or Scala, SQL. Experience with testing frameworks like pytest or ScalaTest. Knowledge of open table formats such as Delta, Iceberg, or Apache Hudi. Experience with CI/ More ❯
