TingentStockholm

Senior Data Engineer

Project-Based

Description

Your responsibilities include Deg and improving data ingestion, streaming, and event processing (batch and real-time) Refactoring and enhancing existing services, pipelines, and infrastructure Implementing robust data collection, transformation, and storage solutions Operating and improving cloud-based platforms (primarily AWS) Improving observability, reliability, and operational tooling for production systems Contributing to best practices around CI/CD, testing, code quality, and documentation Collaborating with software engineers, data engineers, and analysts to deliver reliable data products Current tech stack Cloud & Data Platform: AWS (S3, Glue/Spark, Airflow/MWAA, Athena, MSK/Kafka, Lambda) Streaming & Messaging: Kafka (or similar), RabbitMQ Databases & Storage: SQL/NoSQL systems (e.g., MySQL/MariaDB/Postgres, Redis, DynamoDB, data lake/warehouse patterns) DevOps & Platform: Docker, Kubernetes/EKS, Terraform Engineering practices: Infrastructure as Code, CI/CD, linting, unit tests, integration tests

Skills

DynamodbAirflowPostgreSQLSQLMySQLApache SparkMariadbDevOpsRedisKafkaRabbitmqKubernetesDockerCI/CDTerraformAWS