26 to 50 of 124 Scala Jobs in England

managers on the estimated effort and technical implications of user stories and user journeys.• Coaching and mentoring team members.MINIMUM (ESSENTIAL) REQUIREMENTS:• Strong software development experience in one of Java, Scala, or Python• Software development experience with data-processing platforms from vendors such as AWS, Azure, GCP, Databricks.• Experience of developing substantial components for large-scale data processing solutions and deploying More ❯

large-scale data processing systems with data tooling such as Spark, Kafka, Airflow, dbt, Snowflake, Databricks, or similar Strong programming skills in languages such as SQL, Python, Go or Scala Demonstrable use and an understanding of effective use of AI tooling in your development process A growth mindset and eagerness to work in a fast-paced, mission-driven environment Good More ❯

and provide technical guidance. Troubleshoot and resolve complex issues related to Databricks infrastructure. Essential Skills & Experience Proven experience working with Databricks in a similar role. Strong knowledge of Spark, Scala, Python, and SQL. Experience with cloud platforms such as AWS or Azure. Ability to work collaboratively in a fast-paced environment. Excellent problem-solving and communication skills. Desirable Skills & Experience More ❯

More.. LEAD DATA ENGINEER – ESSTENTIAL SKILLS Proven experience as a Senior or Lead Data Engineer in a fast-scaling tech or data-driven environment Strong proficiency in Python (or Scala/Java) and SQL Deep experience with data pipeline orchestration tools (Airflow, dbt, Dagster, Prefect) Strong knowledge of cloud data platforms (AWS, GCP, or Azure) and data warehousing (Snowflake, BigQuery More ❯

More.. LEAD DATA ENGINEER – ESSTENTIAL SKILLS Proven experience as a Senior or Lead Data Engineer in a fast-scaling tech or data-driven environment Strong proficiency in Python (or Scala/Java) and SQL Deep experience with data pipeline orchestration tools (Airflow, dbt, Dagster, Prefect) Strong knowledge of cloud data platforms (AWS, GCP, or Azure) and data warehousing (Snowflake, BigQuery More ❯

processing frameworks and technologies AWS or Azure cloud experience Experience with data modelling, data integration ETL processes and designing efficient data structures Strong programming skills in Python, Java, or Scala Data warehousing concepts and dimensional modelling experience Any data engineering skills in Azure Databricks and Microsoft Fabric would be a bonus This new role involves leading a data team, fostering More ❯

re Looking For Essential Skills & Experience: Proven experience as a Data Engineer or similar role, with strong knowledge of data warehousing and modelling. Proficiency in C#, Python, Java, or Scala . Hands-on experience with ETL tools (e.g., SSIS) and orchestration tools (e.g., Azure Data Factory). Strong SQL skills and experience with relational databases (MSSQL, PostgreSQL, MySQL). Familiarity More ❯

in technology consulting, enterprise and solutions architecture and architectural frameworks, Data Modelling, Experience on ERWIN Modelling. • Hands on experience in ADF, Azure Databricks, Azure Synapse, Spark, PySpark, Python/Scala, SQL. • Hands on Experience in Designing and building Data Lake from Multiple Source systems/Data Providers. • Experience on Data Modelling, architecture, implementation & Testing. • Experienced in designing & implementation of End More ❯

in technology consulting, enterprise and solutions architecture and architectural frameworks, Data Modelling, Experience on ERWIN Modelling. • Hands on experience in ADF, Azure Databricks, Azure Synapse, Spark, PySpark, Python/Scala, SQL. • Hands on Experience in Designing and building Data Lake from Multiple Source systems/Data Providers. • Experience on Data Modelling, architecture, implementation & Testing. • Experienced in designing & implementation of End More ❯

is required. Demonstrable experience in leading client data engineering and integration projects for major clients Hands-on experience of designing and implementing Quantexa solutions for clients. Technical excellence in Scala, Python and Databricks Skills we’d love to see/Amazing Extras: Experience delivering Quantexa in Financial Services, Fraud Detection, AML, or KYC domains. Exposure to DevOps and CI/ More ❯

is required. Demonstrable experience in leading client data engineering and integration projects for major clients Hands-on experience of designing and implementing Quantexa solutions for clients. Technical excellence in Scala, Python and Databricks Skills we’d love to see/Amazing Extras: Experience delivering Quantexa in Financial Services, Fraud Detection, AML, or KYC domains. Exposure to DevOps and CI/ More ❯

enterprise and solutions architecture and architectural frameworks, Data Modelling, Experience on ERWIN Modelling. 7+ years of hands-on experience in ADF, Azure Databricks, Azure Synapse, Spark, PySpark, Python/Scala, SQL. Hands on Experience in Designing and building Data Lake from Multiple Source systems/Data Providers. Experience on Data Modelling, architecture, implementation & Testing. Experienced in designing & implementation of End More ❯

enterprise and solutions architecture and architectural frameworks, Data Modelling, Experience on ERWIN Modelling. 7+ years of hands-on experience in ADF, Azure Databricks, Azure Synapse, Spark, PySpark, Python/Scala, SQL. Hands on Experience in Designing and building Data Lake from Multiple Source systems/Data Providers. Experience on Data Modelling, architecture, implementation & Testing. Experienced in designing & implementation of End More ❯

you: 5+ years of experience 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 platforms like AWS, Azure, or More ❯

on data architecture decisions. Utilise Palantir Foundry to model, integrate, and optimize data pipelines, helping turn raw data into actionable insights. What We’re Looking For: Proficiency in Java, Scala, or Python. Hands-on experience with cloud platforms (AWS, Azure, GCP) and data tools like Databricks. Strong knowledge of ETL/ELT pipelines, distributed systems, and SQL. Familiarity with CI More ❯

on data architecture decisions. Utilise Palantir Foundry to model, integrate, and optimize data pipelines, helping turn raw data into actionable insights. What We’re Looking For: Proficiency in Java, Scala, or Python. Hands-on experience with cloud platforms (AWS, Azure, GCP) and data tools like Databricks. Strong knowledge of ETL/ELT pipelines, distributed systems, and SQL. Familiarity with CI More ❯

support continuous delivery. Use modern cloud-native tools and CI/CD platforms to maintain secure, observable, and high-performing environments. Relevant Skills: Essential Skills: Proficiency in Python or Scala for data processing Strong SQL skills for querying and managing relational databases Experience with AWS services including S3, Glue, Redshift, Lambda, and Athena Knowledge of ETL processes and data pipeline More ❯

using Docker, Kubernetes, Terraform, or dbt Champion data reliability, scalability, and performance across the platform 🧩 The Tech Environment You’ll likely be working with some combination of: Languages: Python, Scala, Go Streaming: Kafka/Flink/Spark Structured Streaming Workflow orchestration: Airflow/Prefect/Dagster Data storage & processing: Snowflake/Detabricks/BigQuery/Redshift Infrastructure: Docker/Kubernetes More ❯

using Docker, Kubernetes, Terraform, or dbt Champion data reliability, scalability, and performance across the platform 🧩 The Tech Environment You’ll likely be working with some combination of: Languages: Python, Scala, Go Streaming: Kafka/Flink/Spark Structured Streaming Workflow orchestration: Airflow/Prefect/Dagster Data storage & processing: Snowflake/Detabricks/BigQuery/Redshift Infrastructure: Docker/Kubernetes More ❯

complex data pipelines, big data processing frameworks and technologies Experience with data modelling, data integration ETL processes and designing efficient data structures Strong programming skills in Python, Java, or Scala Data warehousing concepts and dimensional modelling experience Any data engineering skills in Azure Databricks and Microsoft Fabric would be a bonus This new role involves building & managing a team of More ❯

data pipelines You have strong Data Engineering experience including design and data modelling skills You have advanced SQL and NoSQL database knowledge You can code with Golang, Python or Scala You have experience with Google BigQuery You have a good knowledge of event-driven architectures and messaging systems (Pub/Sub, Kafka) You have experience of deploying and managing services More ❯

Experience with Confluent Cloud, Stream Governance, Data Lineage, and RBAC • Expertise in stream processing (Apache Flink, Kafka Streams, ksqlDB) and event-driven architecture • Strong proficiency in Java, Python, or Scala • Proven ability to integrate Kafka with enterprise systems (databases, APIs, microservices) • Hands-on experience with cloud platforms (AWS, GCP, Azure) and Kubernetes • Familiarity with CI/CD pipelines and infrastructure More ❯

Experience with Confluent Cloud, Stream Governance, Data Lineage, and RBAC • Expertise in stream processing (Apache Flink, Kafka Streams, ksqlDB) and event-driven architecture • Strong proficiency in Java, Python, or Scala • Proven ability to integrate Kafka with enterprise systems (databases, APIs, microservices) • Hands-on experience with cloud platforms (AWS, GCP, Azure) and Kubernetes • Familiarity with CI/CD pipelines and infrastructure More ❯

marketing datasets. Requirements: Bachelor’s in Engineering, Computer Science, Math, or Marketing Hands-on data engineering (event streaming, real-time analytics, graph processing, computational grids) Skilled in Python and Scala; familiar with MLFlow and machine learning (preferred) Databricks certification is a plus Strong communicator and technical writer Track record with high-quality, stable, and high-performance data pipelines in scrum More ❯

marketing datasets. Requirements: Bachelor’s in Engineering, Computer Science, Math, or Marketing Hands-on data engineering (event streaming, real-time analytics, graph processing, computational grids) Skilled in Python and Scala; familiar with MLFlow and machine learning (preferred) Databricks certification is a plus Strong communicator and technical writer Track record with high-quality, stable, and high-performance data pipelines in scrum More ❯