1 to 25 of 81 Remote Permanent Scala Jobs

Confluent Kafka (Confluent Platform, Kafka Streams, kSQL, Schema Registry, etc.). Proficiency in Qlik Sense (data modeling, scripting, and dashboard creation). Strong programming skills in Python, Java, or Scala for data processing. Expertise in SQL and experience with relational and NoSQL databases. Familiarity with cloud platforms (e.g., AWS or Azure) and related services for data engineering. Experience with data More ❯

on proficiency with modern data technologies such as Spark, Kafka, Airflow, or dbt. Strong SQL skills and experience with cloud platforms (Azure preferred). Solid programming background in Python, Scala, or Java. Knowledge of data warehousing solutions (e.g. Snowflake, BigQuery, Redshift). Strong understanding of data governance, security, and compliance (experience within financial services is a plus). Leadership experience More ❯

tools like AWS (S3, Glue, Redshift, SageMaker) or other cloud platforms. Familiarity with Docker, Terraform, GitHub Actions, and Vault for managing secrets. Experience in coding SQL, Python, Spark, or Scala to work with data. Experience with databases used in Data Warehousing, Data Lakes, and Lakehouse setups. You know how to work with both structured and unstructured data. Experience in testing More ❯

tools like AWS (S3, Glue, Redshift, SageMaker) or other cloud platforms. Familiarity with Docker, Terraform, GitHub Actions, and Vault for managing secrets. Experience in coding SQL, Python, Spark, or Scala to work with data. Experience with databases used in Data Warehousing, Data Lakes, and Lakehouse setups. You know how to work with both structured and unstructured data. Experience in testing More ❯

tools like AWS (S3, Glue, Redshift, SageMaker) or other cloud platforms. Familiarity with Docker, Terraform, GitHub Actions, and Vault for managing secrets. Experience in coding SQL, Python, Spark, or Scala to work with data. Experience with databases used in Data Warehousing, Data Lakes, and Lakehouse setups. You know how to work with both structured and unstructured data. Experience in testing More ❯

tools like AWS (S3, Glue, Redshift, SageMaker) or other cloud platforms. Familiarity with Docker, Terraform, GitHub Actions, and Vault for managing secrets. Experience in coding SQL, Python, Spark, or Scala to work with data. Experience with databases used in Data Warehousing, Data Lakes, and Lakehouse setups. You know how to work with both structured and unstructured data. Experience in testing More ❯

tools like AWS (S3, Glue, Redshift, SageMaker) or other cloud platforms. Familiarity with Docker, Terraform, GitHub Actions, and Vault for managing secrets. Experience in coding SQL, Python, Spark, or Scala to work with data. Experience with databases used in Data Warehousing, Data Lakes, and Lakehouse setups. You know how to work with both structured and unstructured data. Experience in testing More ❯

tools like AWS (S3, Glue, Redshift, SageMaker) or other cloud platforms. Familiarity with Docker, Terraform, GitHub Actions, and Vault for managing secrets. Experience in coding SQL, Python, Spark, or Scala to work with data. Experience with databases used in Data Warehousing, Data Lakes, and Lakehouse setups. You know how to work with both structured and unstructured data. Experience in testing More ❯

for IaC. Emergency management domain knowledge a plus Advanced proficiency in data engineering and analytics using Python, Expert-level SQL skills for data manipulation and analysis and experience with Scala, preferred but not required (Python expertise can substitute) Proven experience breaking down complex ideas into manageable components Demonstrable experience developing rapid POCs and Prototypes History of staying current with evolving More ❯

your team through problem-solving with strong technical leadership. What you'll need Proven track record of leading engineering teams on data-intensive projects. Strong programming skills in Java, Scala, or Python. Proficiency in SQL (including extensions for analytical workloads). Deep knowledge of distributed data stores, frameworks, and ETL/ELT platforms (e.g. Azure Databricks, Informatica). Experience applying More ❯

knowledge sharing across the team. What We're Looking For Strong hands-on experience across AWS Glue, Lambda, Step Functions, RDS, Redshift, and Boto3. Proficient in one of Python, Scala or Java, with strong experience in Big Data technologies such as: Spark, Hadoop etc. Practical knowledge of building Real Time event streaming pipelines (eg, Kafka, Spark Streaming, Kinesis). Proven More ❯

a week with flexibility to work from home once a week. About you: You have experience as a Data Engineer, working on scalable systems You have Python, Java or Scala coding skills You have experience with Kafka for data streaming including Kafka Streams and KTables You have strong SQL skills (e.g. PostgreSQL, MySQL) You have strong AWS knowledge, ideally including More ❯

a week with flexibility to work from home once a week. About you: You have experience as a Data Engineer, working on scalable systems You have Python, Java or Scala coding skills You have experience with Kafka for data streaming including Kafka Streams and KTables You have strong SQL skills (e.g. PostgreSQL, MySQL) You have strong AWS knowledge, ideally including More ❯

a week with flexibility to work from home once a week. About you: You have experience as a Data Engineer, working on scalable systems You have Python, Java or Scala coding skills You have experience with Kafka for data streaming including Kafka Streams and KTables You have strong SQL skills (e.g. PostgreSQL, MySQL) You have strong AWS knowledge, ideally including More ❯

web/mobile applications or platform with either Java/J2EE or .NET tech stack and database technologies such as Oracle, MySQL, etc. Exposure to polyglot programming languages like Scala, Python and Golang will be a plus. Ability to read/write code and expertise with various design patterns. Have used NoSQL databases such as MongoDB, Cassandra, etc. Work on More ❯

operations teams to ensure solutions are production-ready Contribute to technical planning by estimating effort and assessing implications of user stories Essential Skills & Experience Software development experience in Java, Scala, or Python Hands-on experience with data platforms such as AWS, Azure, GCP, or Databricks Proficient in SQL and analytical query extensions Experience working with data formats like JSON and More ❯

multiple stakeholders in a fast-paced environment Experience in the design and deployment of production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala, Spark, SQL. Experience performing tasks such as writing scripts, extracting data using APIs, writing SQL queries etc. Experience in processing large amounts of structured and unstructured data, including integrating data More ❯

multiple stakeholders in a fast-paced environment Experience in the design and deployment of production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala, Spark, SQL. Experience performing tasks such as writing scripts, extracting data using APIs, writing SQL queries etc. Experience in processing large amounts of structured and unstructured data, including integrating data More ❯

multiple stakeholders in a fast-paced environment Experience in the design and deployment of production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala, Spark, SQL. Experience performing tasks such as writing scripts, extracting data using APIs, writing SQL queries etc. Experience in processing large amounts of structured and unstructured data, including integrating data More ❯

Statistics, Mathematics, or related field 7+ years of experience in data science or related field, plus additional 3+ years' experience in a complimentary function Strong programming skills in Python, SCALA, and/or UNIX shell scripting Expertise in machine learning techniques and statistical analysis Proficiency in SQL and NoSQL databases Experience with big data platforms such as Hadoop, Spark, and More ❯

expectations, navigate complex requirements, and deliver tailored solutions across diverse industries. 5+ years' experience working with Databricks, including Spark and Delta Lake Strong skills in Python and/or Scala for data engineering tasks Comfortable working with cloud platforms like Azure, AWS, and/or Google Cloud A problem-solving mindset and the ability to simplify complex data challenges Excellent More ❯

For Active DV clearance (essential) Strong background in data engineering, ETL, and data pipeline development Experience with AWS or Azure cloud technologies Excellent coding skills in Python, SQL, or Scala Understanding of data warehousing, modelling, and streaming technologies Confident working in agile, fast-paced technical teams Locations London - (Hybrid model – typically 3 days per week on site) Salary range More ❯

For Active DV clearance (essential) Strong background in data engineering, ETL, and data pipeline development Experience with AWS or Azure cloud technologies Excellent coding skills in Python, SQL, or Scala Understanding of data warehousing, modelling, and streaming technologies Confident working in agile, fast-paced technical teams Locations Manchester - (Hybrid model – typically 3 days per week on site) Salary range More ❯

For Active DV clearance (essential) Strong background in data engineering, ETL, and data pipeline development Experience with AWS or Azure cloud technologies Excellent coding skills in Python, SQL, or Scala Understanding of data warehousing, modelling, and streaming technologies Confident working in agile, fast-paced technical teams Locations Bristol - (Hybrid model – typically 3 days per week on site) Salary range More ❯

a small team of engineers, focusing on performance, growth, and career development Minimum Requirements Proven experience leading teams of engineers in delivering data-intensive system components. Proficient in Java, Scala, or Python . Hands-on experience with data-processing platforms (Informatica, Azure Databricks, or equivalent ETL tools). Expertise in SQL and analytical extensions . Strong understanding of distributed data More ❯