Senior Data Engineer, Self Study (all genders)

We are looking for a Senior Data Engineer (full-time) to join our Data Engineering team in Berlin. 

You will work closely with the product & engineering managers, product designers, subject matter experts, and cross-platform engineers to bring this mission to reality for Babbel learners.

You will:

• Collaborate with cross-functional teams to define data project requirements and objectives, ensuring alignment with business goals.
• Accompany the adoption of our solutions from proof-of-concept to production readiness.
• Add to the evolution of data models that enable high-quality personalized content generation.
• Develop and maintain scalable, efficient data architectures supporting current and future business initiatives.
• Monitor system performance, identify bottlenecks, and implement solutions to optimize data flow and storage.
• Stay at the forefront of data engineering trends. Introduce innovative solutions and best practices in data processing, storage, and analytics. Evaluate and recommend new technologies to enhance our data capabilities

You are:

• Enjoying working on user-facing products and language learning is close to your heart.
• Learning quickly with the help of MVPs and feeling comfortable adapting solutions iteratively according to our learners' and business needs.
• An ambassador for continuous improvement. You are comfortable to provide and receive feedback.
• A proactive team player, able to identify dependencies and risks to address them together with your peers.
• Monitoring and analysing systems health to develop solutions impacting performance metrics.
• Establishing a good balance between addressing technical debt and ensuring delivery speed.

You have:

• 3+ years of experience in data engineering with a demonstrated track record in designing and managing large-scale data systems.
• 3+ years of experience with Python, text-embeddings and vector-based databases.
• Knowledge of data modelling and how data can be delivered to help with efficient processing of underlying data.
• Ability to design, plan, drive, and document architectural changes and propose innovative solutions for data engineering problems.
• Experience with relational (e.g. MySQL, PostgreSQL) and NoSQL (e.g. DynamoDB) databases.
• Experience with modern data tools, real-time data processing, and cloud-based systems. Tools including such as AWS Sagemaker, Airflow, Databricks and Snowflake.
• Experience with serverless and event-driven architectures (e.g. AWS Lambda, AWS API Gateway, AWS Kinesis).
• Familiarity with the automation of infrastructure deployment and management using tools such as Terraform and CDK.
• Data governance and management skills, such as defining and enforcing data quality standards, data contracts, data lineage, and data access policies, as well as ensuring data security and compliance
• Fluency in written and spoken English.

Nice to have: 

• Familiarity with the technical concept and application of Generative AI.
• Prompt Engineering and LLM Finetuning

Some perks of becoming a Babbelonian:

• Enjoy 30 vacation days and the chance to take a 3-month Sabbatical. Plus family and life situation counseling.
• Decide how, when and from where you want to work with our flexible working hours and remote friendly options as Jobbatical (up to 3 months inside the EU) or work from our fully equipped office with nap, faith and family rooms. 
• Learn and grow with the internal learning opportunities, and use a yearly learning & development budget for external training. Learn languages with Babbel for free with your full access to Babbel & Babbel Live classes.
• Take advantage of your mobility benefits options and a discounted Urban Sports Club membership. 
• Be part of our employee communities (such as Femgineers, DE&I Ambassadors and LGBTQIA groups), attend cultural and regular social events. 

Diversity at Babbel

As part of our ongoing journey towards building a diverse, equitable and inclusive company, we welcome everyone to apply, especially those individuals who are underrepresented in tech. We are a learning company, inside and out, and we encourage you to apply even if you do not fit all the technical requirements - all candidates are assessed based on skills, qualifications and on our business needs. Please state your pronouns in your application, and let us know if you’d like to be addressed by a name other than the one appearing on your official documents. If you have a disability or special need, feel welcome to inform us, so that we can provide you with the proper assistance in the application process.