Senior Engineer, Data Engineering
il y a 3 semaines
We are looking for a pragmatic, hands-on Data Engineer who enjoys building systems end-to-end and taking responsibility for how they perform in the real world. This role is ideal for someone comfortable wearing multiple hats, especially switching from data mindset to software mindset, making trade-offs, and prioritizing delivery over perfection in a fast-moving scale up environment.
Design, build, and operate real-time data pipelines , continuously ingesting and processing event streams from our IoT device fleet in production.
Own technical design discussions end to end : work closely with product, engineering, and operations to translate business needs into robust data solutions, evaluate real-world constraints (cost, performance, reliability), and drive alignment on pragmatic trade-offs.
Take responsibility for data systems in production , including data quality monitoring, alerting, incident follow-up, and supporting downstream data applications.
Proven production experience designing, building, and operating data systems, including:
a) Real-time data pipelines and streaming use cases
c) Data migrations and system integrations
d) Data modeling for analytical and operational workloads
Solid implementation experience in Python and SQL, with a track record of delivering production-ready systems, including testing, deployment, and CI/CD integration.
Ownership mindset: willingness to be accountable for systems in production, including setting up data quality checks, monitoring, alerting, and actively following up on incidents or regressions.
Experience with Infrastructure as Code (IaC) to provision and maintain data and cloud resources in a repeatable, reliable way.
Ability to communicate clearly in English.
Knowledge of data security and privacy principles; Experience working with time-series data and data catalogs.
Experience in non data-specific software projects (microservices, web framework, standalone apps,...).
Familiarity with the AWS ecosystem, especially serverless services (or equivalent experience on another cloud provider).
Exposure to technologies such as TimescaleDB, MQTT, pandas, and Protocol Buffers.
A bias toward simple, operable solutions over over-engineering.
What’s in it for you
A supportive and collaborative team environment with huge learning and career development possibilities in a fast-growing scale-up.
Octave, founded in April 2020, is a Belgian cleantech company specialized in battery energy storage and energy management services for businesses. In addition to the support of some private funds, we are also backed by Imec and the EIC accelerator fund of the European Commission. Our project pipeline contains several large and exciting projects at the forefront of technology and sustainability.
Are you interested in the role of Data Engineer at Octave?
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