Data Engineer

About the role

The Wow

This role will contribute in designing and developing our platform to fulfil the business needs and to also improve our systems. Within this capacity you will have the chance to design new data pipelines, maintain platforms hosted on data streams for batch and real-time loading and real-time visualisations.

A taster of what you will be involved with:

- Maintaining and evolving our existing data platform;

- Building processes to ingest data from Kafka, APIs and Databases using AWS MSK Connect.

- Development and Maintenance of real-time data processing applications using frameworks like Spark Structured Streaming and Kafka Streams.

- Applying transformations to data streams;

- Being involved in data modelling following standards e.g. Inmon, Kimball, Data Vault;

- Ensuring data quality by verifying data consistency and accuracy;

- Keeping up to date on research and development of new technologies and techniques to enhance our data platform;

- Have an investigative mindset to be able to troubleshoot – thinking outside the box when it comes to troubleshooting problems and incident management;

- Full ownership on projects and tasks assigned together with being able to work within a Team;

- Able to document well processes and perform knowledge sharing sessions

What we are looking for:

Must haves:

- Experience with modern cloud database technologies such as Snowflake;

- Experience with orchestrating data pipelines using Airflow;

- Experience with AWS Glue;

- Experience with Apache Iceberg;

- Experience with SQL, and Data Integration Tools

- Experience with any programming language like Python or Scala;

- Knowledge on AWS Services like S3/Lambda/API Gateways/DMS/RDS;

- Development experience in both Microsoft, and Linux/Cloud environments;

- Have strong analytical and problem-solving skills

Nice to have:

- Familiar with Data Warehousing concepts and data modelling techniques such as Inmon, Kimball, Data Vault;

- Familiar with AWS Services such as MSK and EMR;

- Familiarity with containerization and orchestration technologies such as Docker and Kubernetes.

- Familiarity with Time-series or Analytics Databases such as Elasticsearch;

- Familiar with data streaming using technologies such as Kafka;

- Familiar with software versioning tools like GIT;

- Familiar with infrastructure scripting like Terraform;

- Familiar with Data Monitoring and Visualisation tools such as Prometheus and Grafana, Cloudwatch;

- Scripting – Powershell, Unix Scripting;

- At least 2 years experience in Data Engineering;

- Excellent verbal and writing English communication skills;