As Google Cloud's premier partner in AI, we provide world-class businesses with cutting-edge data solutions in the cloud.

We help clients take leading technology to the limits by combining our expertise in machine learning, data engineering, and analytics. With Google Cloud Platform as our foundation, we help businesses future-proof their solutions, deepen their understanding of consumers, increase competitive advantage and unlock operational efficiencies.

Our team consists of experts in machine learning, data science, software engineering, mathematics, and design. We share a passion for data & analysis, operate at the cutting edge, and believe in a pragmatic approach to solving hard problems.

As a Data Engineer you will work with colleagues on the data engineering and architecture part of our consulting projects, building robust pipelines and wrangling data in a way that it becomes easy to visualise and ready to be fed into our machine learning models. In addition to that, you will be helping us to build out the data engineering side of our next-generation machine learning products.

Furthermore, you will:

• Work with the most innovative and most scalable data processing technologies
• Build innovative state-of-the-art solutions with our customers
• Work closely with our tech partners: Google Cloud Platform, Tableau, Looker
• Work in an agile and dynamic environment together with a small team with our data scientists, machine learning experts, data analysts and data engineers

• Strong programming and architectural experience, ideally in Python and/or Java, and SQL
• 3+ years of experience building (big) data solutions
• Extremely passionate about data and analytics
• Experience with ETL tools, Hadoop-based technologies (e.g. Spark) and/or data pipelines (e.g. Beam, Flink)
• Experience building scalable and high-performant code
• Experience in producing tested, resilient and well documented applications

• The ability to take ownership, end-to-end and finding creative solutions
• Experience in architecting, building, maintaining and troubleshooting cloud infrastructure
• Excellent interpersonal skills, verbal and written communication skills; a team player and keen learner who loves building great things together
• Working experience with Google Cloud Platform (GCP) or Amazon Web Services (AWS)
• BSc or MSc degree in Computer Science or a related technical field
• Professional working proficiency in English

• Love for the command line with optional affinity for Linux scripting
• Experience building scalable REST APIs using Python or similar technologies
• Experience with Agile methodologies such as Scrum
• Basic knowledge of and ideally some experience with data science topics like machine learning, data mining, statistics, and visualisation

• Contributions to open source projects

The Basics: 23 days holiday in addition to bank holidays, choice of laptop & pension scheme

Learning: Datatonic encourages continuous learning at all levels with a generous conference budget, freedom to explore the latest tools and technologies as well as regular knowledge-sharing activities

Career Development: A personalised development plan to ensure you hit your professional goals with a clear roadmap for progression

Impact: The opportunity to work on cutting-edge AI and ML solutions spanning multiple industries and with market-leading organisations

Innovation: Access to Datatonic LABs, our Research & Development hub. Experiment and bring forward ideas, create impactful and meaningful work in a creative and collaborative environment - even just for fun!

Flexible Working: Fully remote working from anywhere in Spain

Team Vibe & Social: A welcoming and friendly team plus regular monthly social events and team offsites (or remote events)

Working for Datatonic

We’re an eclectic team with lots of different interests and personalities. We have many different roles across data science, engineering, analytics, consulting, marketing, business development, and operations. As a company, we have a strong emphasis on learning and professional development. Our core values are:

Cultivating Excellence

A hub for continuous learning, curiosity, developing ideas, testing things out - and then putting ‘excellence’ into practice.

Owning It

Working collaboratively in cross-functional teams to achieve customer delight. We love what we do and draw immense satisfaction from taking responsibility and seeing the results of our work.

Purposeful Impact

Creating positive change for our customers, using the most relevant machine learning and analytics approaches and the best technologies to meet real business needs.

Winning with Partners & Friends

Our business has been built on great partnerships and open-source collaboration. It’s one thing to be successful, but to do it in partnership with great people and other great companies is even better in our opinion.

Note to candidates - This is an English-speaking role. Please upload your CVs in English.