Experienced Data or Software Engineer

Dataminded; Gijón; A distancia; EUR 60.000 - 80.000; Jornada completa

Descripción de la vacante

A tech-driven data solutions company is seeking a Senior Data Engineer to architect and develop cloud applications. Ideal candidates will have over 5 years of experience in software development, strong coding skills, and a passion for data and cloud technologies. This role involves collaborating with technical teams and clients, designing complex analytics solutions, and leading data initiatives. Competitive salary and career growth opportunities provided.

Servicios

Wide-open career paths

Competitive salary

Formación

• Minimum 5 years of experience in software development and solution engineering.
• Excellent coding skills in relevant programming languages.
• Strong understanding of cloud environments and distributed systems.
• Experience with data technologies is a plus.

Responsabilidades

• Architect and develop data applications in the cloud.
• Design complex analytics solutions for large data sets.
• Set the technology vision for data products or services.
• Lead and coach technical teams.
• Provide thought leadership to clients on data analytics.

Conocimientos

Python

Spark

Java

Golang

Cloud solutions

Big data technologies

Leadership and coaching

Innovative thinking

English proficiency

Descripción del empleo

You are convinced AI and IoT are having a big impact on society and you want to be part of that shift. You are a fan of open source technology and your idea of fun involves massive data processing or scalable compute clusters. You are eager to keep on learning and growing and like to work in a dynamic, no-nonsense scale-up environment.

At Dataminded, data engineers are at the heart of what we do.

We are currently looking for remote senior (data) engineers in Madrid, Malaga and Valencia to expand across Europe. The role involves regular travels (~30%) to our homebase in Belgium, and clients in Belgium, the Netherlands and Germany.

Experienced software engineers with an emerging passion for data welcome! At least 5 years of experience is a must.

Responsibilities

• Architect, develop and deploy a wide range of data applications, in the cloud (AWS, Microsoft Azure, Google Cloud Platform)
• Design complex analytics solutions with large data sets on distributed systems
• Set and direct the technology vision of an entire data product or service
• Make technical teams successful
• Develop a sense of purpose for a full client engagement
• Provide thought leadership for clients and partners to help them understand the data analytics landscape
• Debug organisations and processes

Required qualifications

• Over 5 years of experience in software development, solution engineering, technical consulting; with expertise in architecting and rolling out new technology and solutions
• Excellent coding skills (Python, Spark, Java, Golang, etc.)
• Good understanding of cloud possibilities and limitations in the areas of distributed systems, massive data storage, and security
• Experience with big data technologies is a plus
• Proven innovative thinker who is sough out by co-workers for inspiration
• Proven experience with leading and coaching technical teams
• Has developed future-proof architectures without exactly knowing that the future is
• Highly proficient in spoken and written English
• Passion for cloud and data

Our offer

• Wide-open career paths
• Competitive salary

About Dataminded

Dataminded is about the people, first and foremost. We are a fast-growing team, passionate about data. We are all engineers. We all write code on a daily basis. We put our people ahead of our products and our products ahead of our profits.

Dataminded has grown from an idea to becoming a local leader in data analytics. We have delivered several successful projects in the areas of telecom, healthcare, biotech and others. We provide technical training to the community and advise large corporations on how to approach and organise data projects. To achieve these results, we keep an open mind, we adapt fast and we always tell the truth as we see it. We coach and mentor each other. We learn from our mistakes and share our learnings.

We choose long-term gains over short-term profits.