In tech we are building software systems in two main areas:
Heartbeat: Building a virtual power plant leveraging our energy manager “Heartbeat” and evolving the customer experience app around this.
Operating System for installation companies: Digitalisation of operations and processes from ground operations to rooftop installations.
As a Senior Data Engineer at 1KOMMA5°, you will join a platform team of talented MLOps and Data Engineers to create the data foundation for these systems. Together you will focus on building a reliable, scalable and secure data platform that enables our product teams with seamless access to high quality analytical data and workflows, serving use cases ranging from reporting to the development and deployment of data products.
Key responsibilities include but are not limited to:
Architect, develop, and manage the data platform to support efficient data ingestion, transformation, quality assurance, monitoring, and accessibility
Collaborate closely with cross-functional teams to understand data needs
Build business critical data pipelines for analytics and machine learning
Mentor MLOps and Data Engineers, fostering an inclusive culture of innovation and quality
Contribute formulating and executing on the technical vision and roadmap for the data platform
Technologies you will work with include:
Google Cloud Platform (CloudRun, BigQuery, Pub/Sub, Dataform, etc.)
SQLMesh
Airflow
Terraform / Terramate
GitHub Actions
Python and SQL
Looker
Proven experience (4+ years) in a senior data engineering role, preferably within a fast-paced tech company or similar environment
Strong understanding of data concepts at scale ranging from data ingestion, transformation and modeling
Strong understanding of software engineering best practices and their application to data pipelines
Experience with data governance, especially around implementing and managing data catalogs, IAM, ensuring metadata management and efficient data discovery
Experience with Python, SQL, and HCL (terraform)
Extensive experience working with a public cloud provider, ideally Google Cloud Platform (GCP), and a solid understanding of its data services
Experience with BI tools and how to integrate these with a modern data setup
Strong customer-centric mindset with a deep understanding of the importance of product thinking when enabling software delivery teams to build data-driven solutions
Proven coaching and mentorship skills, with a commitment to fostering an inclusive and collaborative team culture
Very good knowledge of spoken and written english, german is a plus
Bonus points for:
Prior experience with IoT applications and streaming data processing (e.g. GCP Dataflow, Apache Beam, Apache Flink, etc.)
Having worked in a scale up environment at a company of similar size
Interest in the climate tech industry
Be part of a dynamic team dedicated to reshaping the energy landscape. If you're passionate about leveraging data to drive innovation in renewable energy solutions, join us in our quest to make a sustainable difference.
You will be part of a young, dynamic and highly motivated team with people who have proven that they can make things happen and move companies forward
With your work, you support the megatrend "energy and mobility transition" and make a concrete contribution to the sustainable transformation of our energy infrastructure
You are part of a fast growing company with a lot of development potential
You move in flat hierarchies and have direct contact with the managing directors as well as short decision-making paths
You will be welcomed by a young, close-knit and fast-growing team with an exciting task ahead
The results of your work are immediately recognizable and have a direct positive impact
You can build something independently and take responsibility
You can work remotely (Germany-wide), preferred locations are Hamburg, Berlin or Munich
You create a healthy balance alongside your work and enjoy all the benefits of the EGYM Wellpass
In tech we are building software systems in two main areas:
Heartbeat: Building a virtual power plant leveraging our energy manager “Heartbeat” and evolving the customer experience app around this.
Operating System for installation companies: Digitalisation of operations and processes from ground operations to rooftop installations.
As a Senior Data Engineer at 1KOMMA5°, you will join a platform team of talented MLOps and Data Engineers to create the data foundation for these systems. Together you will focus on building a reliable, scalable and secure data platform that enables our product teams with seamless access to high quality analytical data and workflows, serving use cases ranging from reporting to the development and deployment of data products.
Key responsibilities include but are not limited to:
Architect, develop, and manage the data platform to support efficient data ingestion, transformation, quality assurance, monitoring, and accessibility
Collaborate closely with cross-functional teams to understand data needs
Build business critical data pipelines for analytics and machine learning
Mentor MLOps and Data Engineers, fostering an inclusive culture of innovation and quality
Contribute formulating and executing on the technical vision and roadmap for the data platform
Technologies you will work with include:
Google Cloud Platform (CloudRun, BigQuery, Pub/Sub, Dataform, etc.)
SQLMesh
Airflow
Terraform / Terramate
GitHub Actions
Python and SQL
Looker
Proven experience (4+ years) in a senior data engineering role, preferably within a fast-paced tech company or similar environment
Strong understanding of data concepts at scale ranging from data ingestion, transformation and modeling
Strong understanding of software engineering best practices and their application to data pipelines
Experience with data governance, especially around implementing and managing data catalogs, IAM, ensuring metadata management and efficient data discovery
Experience with Python, SQL, and HCL (terraform)
Extensive experience working with a public cloud provider, ideally Google Cloud Platform (GCP), and a solid understanding of its data services
Experience with BI tools and how to integrate these with a modern data setup
Strong customer-centric mindset with a deep understanding of the importance of product thinking when enabling software delivery teams to build data-driven solutions
Proven coaching and mentorship skills, with a commitment to fostering an inclusive and collaborative team culture
Very good knowledge of spoken and written english, german is a plus
Bonus points for:
Prior experience with IoT applications and streaming data processing (e.g. GCP Dataflow, Apache Beam, Apache Flink, etc.)
Having worked in a scale up environment at a company of similar size
Interest in the climate tech industry
Be part of a dynamic team dedicated to reshaping the energy landscape. If you're passionate about leveraging data to drive innovation in renewable energy solutions, join us in our quest to make a sustainable difference.
You will be part of a young, dynamic and highly motivated team with people who have proven that they can make things happen and move companies forward
With your work, you support the megatrend "energy and mobility transition" and make a concrete contribution to the sustainable transformation of our energy infrastructure
You are part of a fast growing company with a lot of development potential
You move in flat hierarchies and have direct contact with the managing directors as well as short decision-making paths
You will be welcomed by a young, close-knit and fast-growing team with an exciting task ahead
The results of your work are immediately recognizable and have a direct positive impact
You can build something independently and take responsibility
You can work remotely (Germany-wide), preferred locations are Hamburg, Berlin or Munich
You create a healthy balance alongside your work and enjoy all the benefits of the EGYM Wellpass