Data Engineer (Mid/Senior)

ABOUT THE TEAM:

We're a passionate team, consisting of a Head of Data, an Analytics Engineer and 2 Senior Data Analysts dedicated to all things data. You'll be at the centre of our expanding Data team. We're enthusiastic about exploring new tools and technologies, and we thrive on brainstorming to solve challenges and apply best practices. Our team is set to grow soon, welcoming Data Engineers, Analytics Engineers, Analysts, and Data Scientists, all playing a pivotal role in Talon.One's development.

ABOUT THE ROLE:

As a Data Engineer / Data Ops, you will be responsible for all engineering tasks related to the infrastructure, data ingestion and DWH pipelines. You will own our data ingestion workflows (currently based on a Kafka stream) and ensure that large-scale data from our PostgresDB instances is continuously and reliably ingested live into BigQuery. You will manage our overall DWH infrastructure, recommend improvements and make sure to always follow best practices. Finally, you will also be involved in Data Engineering pipelines, assisting in the modelling of various data sources helping all departments within the company to make better decisions.

YOUR TASKS AND RESPONSIBILITIES:

• Own the data ingestion streams for all of our client’s DBs, from Postgres to BigQuery.
• Own the overall data infrastructure: Set up, maintain and improve our stack with new technologies for more efficiency and best practices. E.g. advanced DWH pipeline scheduling.
• Write DWH pipelines and improve our overall DWH code to apply best practices and bring more efficiency.
• Be part of a data team composed of various profiles, be at the center of all infrastructure decisions and work closely with other stakeholders from the R&D department, especially the DevOps team.

YOUR QUALIFICATIONS:

• 3 - 5+  years of experience in the Data Engineering / Data Ops field, ideally working on big data warehouse projects.
• You are familiar with the modern data stack and are able to recommend, set up and maintain all different kinds of components from Data ingestion to automation. 
• You have experience with a wide range of tools and technologies within the modern data stack: Kafka, Airflow, DBT Core, BigQuery, Lambda functions etc.
• You have experience with general infrastructure / DevOps management technologies: Kubernetes, Docker, Postgres, GCP etc.
• You always thrive for applying data engineering best practices: consistency checks, testing data reliability, monitoring on top of ingestion pipelines, no double business logic in the code.

ABOUT TECHNOLOGY: 

• Google Cloud Platform (GKE, Cloud Functions, Pub/Sub and many more)
• PostgreSQL
• ArgoCD and helm charts for GitOps and delivery
• Hashicorp ecosystem (Terraform, Vault, etc…)
• Kafka and BigQuery for DataOps
• Go for our API & Custom Kubernetes Operators
• React.js, TypeScript and CSS modules for our web application

• A Research and Development Department of 100+ of engineers, product managers and product designers in Berlin
• Leaders with 8+ years of experience building our promotions engine 
• €1,000 annual learning budget, full LinkedIn Learning access, and free German language courses to boost your skills
• 30 days of annual leave, plus extra paid days for your birthday and moving day
• Home office setup budget, a monthly home office allowance
• Freedom to work from abroad for up to 90 days worldwide!
• Mental health support with nilo.health and a discounted Urban Sports Club membership
• 20% company subsidy on your pension contributions
• BVG public transport ticket and welcome your furry friend in our dog-friendly Berlin office
• Lease your ideal bike through BusinessBike