Senior Data Engineer

What you'll be doing:

• Scale and evolve our multi-tiered data infrastructure, optimizing for cost, performance, scalability and reliability;
• Design and implement diverse new strategies to meet existing requirements while anticipating the future needs of our internal clients;
• Support DS/ML teams, building new solutions for lake processing and providing guidance and expertise as they build and productionize their business critical ML models;
• Act as mentor of other Data Engineers, helping them to grow their skills;
• Work closely with our Data Strategy team to ensure a smooth and organic growth of our data models;
• Build and optimize ETL platform and processes for the core data model, integrating additional data sources as needed;
• Optimize data ingestion and processing in our data lake, data warehouse and experimentation platform;
• Select and instrument data quality tools and processes.

What you need to succeed:

• Bachelors or Masters Degree in Computer Science or Engineering (or equivalent work experience);
• Previous experience as a Senior Data Engineer or a similar role;
• Experience in maintaining cloud based high-volume distributed data processing platforms;
• Experience in distributed bulk data processing frameworks, such as Spark/Presto;
• Experience deploying and supporting tooling on Kubernetes;
• Strong coding skills in Python and good experience working with SQL (knowledge of Scala is a plus);
• Experience implementing new technologies and managing migration processes smoothly;
• Strong curiosity, problem solving and problem finding skills;
• Creative mindset and proactive attitude towards the creation and evaluation of new solutions;
• Good written and verbal communication skills. Fluent English is a must.

Nice to have:

• Previous experience scaling start-ups infrastructures;
• Knowledge of coordination tools (Airflow, Luigi, Jenkins);
• Infrastructure knowledge (cloud experience, ideally AWS);
• Manage multi-tiered data systems (data lake + data warehousing architecture);
• Terraform (infrastructure-as-code) understanding and proficiency;
• Built production ML models using Python (Pyspark) or Scala (Spark).

Why you'll love it at Preply: 

• An open, collaborative, dynamic and diverse culture;
• A generous monthly allowance for lessons on Preply.com, Learning & Development budget and time off for your self-development;
• A competitive financial package with equity, leave allowance and health insurance;
• Access to free mental health support platforms;
• A flexible set-up with the option of paid relocation to Barcelona or working remotely within a close time-zone;
• The opportunity to shape the lives of learners and tutors through language learning and teaching in 175 countries (and counting!).

About Preply:

Our values:

• Human: We embrace diversity by fostering inclusive environments where people feel respected and safe to express their opinions.
• Hungry: We make bold, data-informed decisions to deliver high-impact solutions for our customers.
• Humble: We experiment continuously by staying open to being challenged, learning from failures, and making data-informed decisions.
• Hackers: We learn by doing, focus on things that matter and move with incredible speed to create simple, creative, and scalable solutions.
• Curious: We thrive on facing challenges, diving deep to identify root causes, and uncovering insights to continuously improve. 
• Learners Obsessed: We put our learners at the core of everything we do to improve the effectiveness of their language learning with us. 

Diversity, Equity, and Inclusion:

#LI-VS1