Ability to write clean, scalable, maintainable code in Python with a good understanding of software engineering concepts and patterns. Proficiency in other languages like Scala, Java, C#, C++ are an advantage. Proven record of building and maintaining data pipelines deployed in at least one of the big 3 cloud ML More ❯
Preferred). Experience 3+ years of hands-on experience in data engineering with GCP. Strong proficiency in SQL, Python, and/or Java/Scala for data processing. Practical experience with BigQuery, Cloud Dataflow, Cloud Dataproc, and Apache Beam. Experience with event-driven streaming platforms such as Apache Kafka or More ❯
some of the following methodologies/technologies: Strong cloud provider experience on at least one of AWS, Azure, or GCP Hands-on experience using Scala, Python, or Java Experience in most data and cloud technologies such as Hadoop, HIVE, Spark, Pig, SQOOP, Flume, PySpark, Databricks, Cloudera, Airflow, Oozie, S3, Glue More ❯
such as Snowflake and familiarity with modern data infrastructure tools like DBT, Airflow, and Kafka. Proficiency in SQL & Python required; experience with Java or Scala is a plus. Hands-on experience with containerization technologies (e.g., Docker, Kubernetes) and orchestration systems for deploying and maintaining applications. Strong experience with Linux/ 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 ❯
and principles. Solid understanding of data warehousing, data modeling, and data integration principles. Proficiency in at least one scripting/programming language (e.g. Python, Scala, Java). Experience with SQL and NoSQL databases. Familiarity with data quality and data governance best practices. Strong analytical and problem-solving skills. Excellent communication More ❯
Extensive experience using Python, Pyspark and the Python Ecosystem with good exposure to python libraries, Proficient in SQL, Experience Developing in other languages e.g. Scala/Java. Experience with Big Data technologies and Distributed Systems such as Hadoop, HDFS, HIVE, Spark, Databricks, Cloudera. Experience developing near real time event streaming More ❯
Google Cloud, Google Cloud Composer, BigQuery, Spark, Solr, Elasticsearch, Druid, PostgreSQL, ScyllaDB, Redis, Kafka, Flink, Docker, Kubernetes, Kibana, Jenkins, Prometheus, Grafana, Github, C++, Python, Scala, Compiler Explorer What Blis Can Offer: We want you to be well and thrive and we care about your growth as a person and in 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 ❯
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 ❯
Functions, Cloud SQL, Memorystore PubSub. Infrastructure & Technologies: Apache Airflow, Druid/Imply, Kafka, Spark, Postgres, Jenkins, Scylla, Redis, Docker, Prometheus, Github, Linux. Languages: Python, Scala, C++, JavaScript, Java. About Us Blis is the leading privacy-first, location-powered programmatic advertising partner. We deliver accurate targeting at scale without reliance on More ❯
City of London, London, United Kingdom Hybrid / WFH Options
McCabe & Barton
not limited to banking, insurance, healthcare, media, retail, infrastructure and telco. The ideal candidate with have expertise in some of the following: Python, SQL, Scala, and Java for data engineering. Strong experience with big data tools (Apache Spark, Hadoop, Databricks, Dask) and cloud platforms (AWS, Azure, GCP). Proficient in More ❯
not limited to banking, insurance, healthcare, media, retail, infrastructure and telco. The ideal candidate will have expertise in some of the following: Python, SQL, Scala, and Java for data engineering. Strong experience with big data tools (Apache Spark, Hadoop, Databricks, Dask) and cloud platforms (AWS, Azure, GCP). Proficient in More ❯
including thought leadership activities, supporting RFP's and the coaching/mentoring of more junior engineering team members. Experience Developing in other languages e.g. Scala/Java. Enthusiasm and ability to pick up new technologies as needed to solve problems. Exposure to working with PII, Sensitive Data and understands data More ❯
production data pipelines, CI/CD Pipelines on e.g. Azure DevOps, Jenkins, CircleCI, GitHub Actions etc. Desirable Skills Experience developing in other languages e.g. Scala/Java. Enthusiasm and ability to pick up new technologies as needed to solve problems. Exposure to working with PII, Sensitive Data and understanding data More ❯
or Golang, as they're the most prominent programming languages in our codebase; we are also open to considering applicants with experience in Java, Scala, C# or C++. Practical experience with distributed processing of large amounts of data. Hands-on experience with PySpark/Spark. Experience working according to DevOps More ❯
level proficiency in SQL (e.g., MySQL, PostgreSQL, Redshift) and NoSQL databases (e.g., MongoDB, Cassandra). Proficiency in one or more programming languages (e.g., Python, Scala, Java) for data integration, automation, and problem-solving. In-depth experience with cloud data platforms (AWS, Azure, Google Cloud) and Microsoft services (e.g., Azure Storage More ❯
infrastructure. We would like you to have Proven experience as a Data Engineer or Data Analyst with strong SQL experience (other programming languages - Python, Scala, Java - are beneficial). Confidence in building data virtualisation layers and data semantic layers. Strong knowledge of relational databases (MySQL, PostgreSQL), experience with data warehousing More ❯
foundation (e.g., microservices, automated testing, containerization). Strong experience with building and maintaining data pipelines and platforms. Proficiency in programming languages (e.g., Python, Java, Scala). General knowledge of data engineering tools (e.g., Databricks, Apache Spark, dbt, Airflow). Knowledge of semantic layer concepts and tools (e.g., LookML, Cube.js, dbt More ❯
tools (Apache Nifi, Talend, DBT, Airflow, Fivetran, etc.). Experience with data visualization tools (Tableau, Power BI, Looker). Proficiency in Python, R, or Scala for data manipulation and analytics. Experience with cloud-based data solutions (AWS Redshift, Snowflake, BigQuery, Azure Synapse). Familiarity with big data technologies (Apache Spark More ❯
City of London, London, United Kingdom Hybrid / WFH Options
83zero Limited
wide range of AWS services with the ability to demonstrate working on large engagements Experience of AWS tools (e.g Athena, Redshift, Glue, EMR) Java, Scala, Python, Spark, SQL Experience of developing enterprise grade ETL/ELT data pipelines. Deep understanding of data manipulation/wrangling techniques Demonstrable knowledge of applying More ❯
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 database such as More ❯
least one of PostgreSQL, MSSQL, Google BigQuery, SparkSQL) Modelling & Statistical Analysis experience, ideally customer related Coding skills in at least one of Python, R, Scala, C, Java or JS Track record of using data manipulation and machine learning libraries in one or more programming languages. Keen interest in some of More ❯
least one of PostgreSQL, MSSQL, Google BigQuery, SparkSQL) Modelling & Statistical Analysis experience, ideally customer related Coding skills in at least one of Python, R, Scala, C, Java or JS Track record of using data manipulation and machine learning libraries in one or more programming languages. Keen interest in some of More ❯
asynchronous architecture Familiar with AWS, Unix/Linux, Git, SQL, and REST Bonus Points for Experience or interest in: Functional programming languages such as Scala, Haskell and Clojure Relational and NoSQL databases such as PostgreSQL and MongoDB DevOps such as Terraform, Fargate and Kubernetes Frontend development such as Node.js and More ❯
