Data Operations Engineer Specialist

About The Role 💻 

We are looking for a Data Operations Engineer Specialist to join our Data Strategy team. If you’re a Data Engineer and you enjoy leveraging code to quickly adapt to changing needs in an operative environment, or if you are a Data Analyst who can code in python to solve operative issues, we are looking for you.

You will be part of the Data Strategy team in charge of growing our Sustainability database, allowing us to enhance the productivity of the research team and reduce the operation burden of the development team. You will interact with the development team as well as with the research team.

What You’ll Be Doing 🚀

Working as a Data Operations Engineer Specialist you will be responsible for: 

• Consulting data and using your coding skills (Python and SQL) to manage data from different data sources (S3, postgreSQL, etc.) in order to define the information to retrieve in our collection efforts
• Creating dynamic data assets required for different use cases using DBT and Airflow for analytic consumption
• Creating automated and refreshable dashboards and reports for different stakeholders using your SQL and Python coding skills and using tools and services such as DBT and Quicksight
• Developing process operations and process automations using orchestration tools like Airflow, APIs and overall best practices in streamlining business processes
• Delivering data through existing pipelines, or supporting the creation of new pipelines while including necessary soda validation checks
• Serving and explaining data to non-technical and technical teams
• Developing solution architecture diagrams and supporting the build using best practices
• Offering technical support to business stakeholders around their day to day operational work
• Modifying and creating new ETLs helped by the data-engineering team (we use Airflow to manage ETLs)
• Supporting the configuration/integration of third party tools and work on web scraping activities and tasks
• Writing maintainable code with tests, applying version control, debugging correctly, and uploading it to Gitlab
• Interfacing with the Data Science team on serving data for modeling and predictions and helping deliver high quality data based on business rules to specific data stores

Location 🌍 

The role is based in Barcelona/Madrid

Way of Working: Remote / Hybrid

What You’ll Need 👀

• 3+ years industry experience in the data analytics and data engineering field
• You hold a degree in a quantitative field (CS, Engineer, Math, Physics, … ) and have great coding skills.  
• You possess very strong SQL, Python database skills, and can make invocations to APIs
• You are very familiar with using tools such as SnowFlake, Airflow, AWS Services (ie. S3, Quicksight), and DBT
• Experience in advanced analytics, data engineering and a similar related field of data management
• Experience in collaborating with engineering teams and stakeholders to build key datasets and executing data pipelines using SQL/Python/ETL frameworks
• Can design data models and are familiar with best practices around data design and architecture
• Can work well with the Business and Technology stakeholders to deliver business initiatives on time by understanding the business need
• Self-starter, able to take ownership and initiative, with high energy and stamina
• Decisive and action-oriented, able to make rapid decisions even when they are short of information
• Highly motivated, independent and deeply passionate about sustainability and impact
• Excellent oral and written English communication skills (minimum C1 level-proficient user)

Nice To Have ✨

• Experience in the financial sector
• Knowledge of sustainability aspects

What we offer 🥁

• Competitive compensation
• Equity Plans, ESOP/Phantom Stock, to share our success
• Flexibility in terms of schedules and location, whether you prefer to work from home, the office, or abroad with access to a global network of co-working spaces 
• Generous paid time off schemes that include vacation, sabbatical, religious observance and compensation days
• Private Healthcare coverage that can be extended to your family members
• Fitness and Wellness benefits covered through Wellhub
• Working from home allowances to help you set up your home office and cover monthly expenses
• Annual training budget to support your professional growth
• Regular team activities and events