AND Digital

Senior Data Engineer

AND Digital

full-time

Posted on:

Origin:  • 🇳🇱 Netherlands

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Job Level

Senior

Tech Stack

Amazon RedshiftAWSAzureCloudETLHadoopJavaScriptKafkaMariaDBMongoDBMySQLNode.jsPostgresPythonScalaSparkSplunkSQLTypeScript

About the role

  • Senior Data Engineer (Amsterdam)
  • AND Introduction
  • At AND, we accelerate the development of digital capabilities. In practice, that means helping ambitious leaders and organisations build the teams, products, processes and even operational structures they need to close the digital skills gap within their organisation today, so that they thrive tomorrow.
  • Clients rely on our experience, agility and craft skills across tech and business strategy, software development and product management to address some of the toughest challenges facing their businesses.
  • We bring aboard thinkers, tinkerers, passionate software craftspeople and inspiring technologists to help us solve these challenges. Together, we’re united by a sense of pragmatism, purpose and a deeply-held belief that digital products and technology alone won’t transform a business or save the world: it’s the people that count.
  • About You
  • As a Senior Data Engineer, you will spend your time helping clients achieve their data engineering needs. Primarily the development, deployment and maintenance of data pipelines in a fast moving, Agile environment.
  • You’ll also make a real impact by taking an active role in the team’s Agile Development practices, technical decision making and development, generating value and continuously striving to improve the quality and reliability of our data and processes.
  • You will spend the majority of your time helping deliver client data engineering opportunities and supporting the growth of our junior-mid level technologists; both within AND and for our clients.

Requirements

  • Experience of using modern and traditional data technologies including: MongoDB, PostgreSQL, mySQL/mariaDB, Kafka, Splunk/ELK or other logging and monitoring tools, BI and Data Warehousing solutions and ETL and migration technologies
  • Experience in Microsoft Fabric
  • Good cloud-native data engineering skills e.g. AWS RDS, Redshift, Kinesis, Glue or Azure CosmosDB, DataFactory, SQL DB etc.
  • Good experience in quality assuring data programmes, including non-functional testing and performance tuning
  • At least 3 years experience writing Python, R, SQL or Scala
  • Experience in Dimensional modelling and Data Warehouse patterns
  • Good understanding and track record of delivering complex data solutions using Agile methods including Scrum, SAFe etc.
  • Hands-on experience of modern software delivery, including CI/CD and DevOps practices
  • Experience with Big data storage or Data Lakes
  • A keen understanding of industry best-practice around standards, quality and continuous improvement in the field of Data Engineering
  • Experience in the field of Data Engineering, Science or Analytics