Digitl Cloud is a company in the field of marketing and cloud technology. You have the chance to be part of building a young and ambitious company. We are hands-on specialists who have made it our mission to approach the topic of supporting businesses with cloud technology in an even more innovative way. New ideas and fresh approaches are always welcome. At Digitl Cloud, you will not only have the opportunity for a career with a founding spirit, but you will also work with exciting clients and be in close contact with our contacts in the industry.
As a Cloud Data Engineer, your role will be to build and support data infrastructure that enables our clients to make data-driven decisions. You will be expected to collect, transform, and automate data models, and work closely with our data science team to deploy and automate machine learning models.
Preferably you should be based in Spain or at least in the EU.
Tasks
- Maintaining in-depth knowledge of cloud-related technologies and can articulate best approaches and practices to the team
- Design, build, and maintain robust ETL / ELT pipelines , primarily leveraging tools like Dagster for orchestration and deploying them on our Kubernetes cluster , while also adapting to client-specific requirements and diverse data environments.
- Part of your work will be to automate and streamline some of the manual processes regarding data flows
- You will translate client needs and objectives into actionable development plans and strategies to help them reach their goals and be able to discuss the plans with them.
- In addition, we are in charge of developing and managing data transformation layers, primarily using DBT (data build tool) and, in some cases, Google Dataform .
Qualifications
BA / BS degree in Computer Science, Mathematics, Economics, or a related technical field, or equivalent practical experienceProven experience as a Cloud Data Engineer , with a strong focus on Google Cloud Platform (GCP)Strong SQL knowledge and proficiency in PythonHands-on experience with Dagster for data orchestration, or comparable experience with other modern orchestration tools like Airflow.Familiarity with Kubernetes for deploying and managing data pipelinesKnowledge of Relational and non-relational datasetsExperience with DBT (data build tool) or Google Dataform for data transformationsExperience automating manual processesExcellent analytical and problem-solving skillsSignificant experience in designing, developing, and troubleshooting large production-grade data systems on the Google Cloud and being able to select the appropriate tools to solve business problemsAbility to advise customers as an expert in your area of expertisePreferred Skills
Google Certified Professional Data Engineer or other relevant GCP certificationsExperience working with Google Analytics raw data exports to BigQuery and leveraging this data for analytical purposes.Knowledge of Vertex AI for machine learning operationsFamiliarity with other cloud providers (though GCP is preferred)Strong expertise in TerraformExperience with stream processing systemsExperience with agile working practices and toolsBenefits of working with us
Co-Working - you have a place in the best co-working spaces in Düsseldorf, Zurich, Barcelona, or Hamburg at your disposal.Remote 1st - all our processes are designed for decentralized working. You decide whether you prefer to work in your home office or spend your day in one of our officesHome Office Equipment - we provide you with a standard for your remote working environmentAnimal Lovers - If you have a dog, you can bring it to any of our officesSkill Building - As a highly specialized technology partner, we support your development with certificates, conference attendance, and trainingDiverse and Specialized team - Allows team members to gain experience working with multiple cultures and empowers their personal strengths and goalsAgile Work Environment - Agile working is becoming increasingly important in order to work and adapt in fast-paced environments. This allows the team at Digitl Cloud to work efficiently while benefitting from more flexibility and freedom.J-18808-Ljbffr
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