Senior Backend Engineer
•Procurify· 1d
EngineeringFull-time$122k-150kAmericas
1d ago
DeepL·15 days ago
DeepL is a global communications platform powered by Language AI. Since 2017, we’ve been on a mission to break down language barriers. Our human-sounding translations and intelligent writing suggestions are designed with enterprise security in mind. Today, they enable over 100,000 businesses to transform communications, reach new markets, and improve productivity. And, empower millions of individuals worldwide to make sense of the world and express their ideas.
Our goal is to become the global leader in Language AI, building products that drive better communication, foster connections, and make a real-life impact. To achieve this, we need talented individuals like you to join our exciting journey. If you're ready to work with a dynamic team and build your career in the fast-moving AI space, DeepL is your next destination.
What sets us apart is our blend of modern technology, competitive benefits, and an open, welcoming work culture that enables our people to thrive. When we share what it's like to work at DeepL, the reactions are overwhelmingly positive. This may be because of our products that have helped countless people worldwide or our shared mission to improve communication for individuals and businesses, bringing cultures closer together. What we know for sure is this: being part of DeepL means joining a team dedicated to innovation and employee well-being. Discover what our teams have to say about life at DeepL on LinkedIn, Instagram and our Blog.
DeepL has millions of passionate users around the globe, both consumer and enterprise. These users produce a massive quantity of data. The Data Foundation team increases operational efficiency and drives innovation at DeepL by facilitating the flow of this data from producers to consumers, in order to maximize business impact. Through the creation of stable and user-friendly analytical data products, we make customer data models and user behavioral data accessible and reusable for data driven professionals throughout the company.
In this role, your main responsibilities and deliverables will be to build and maintain data pipelines, create foundational data models in our data warehouse, and integrate new data sources using DataOps best practices, including documentation and testing. You will also support other data specialists in their work to make their queries and tables efficient and their use of data effective.
We are looking for a Senior Analytics Engineer to join a versatile team that builds and maintains data models, pipelines and data products utilised across DeepL. The team owns the core data products and pipelines utilising data from both internal and external sources. You will work with product managers, data scientists, data engineers, and analysts to solve complex technical and business problems. You will work with revenue, customer, and product usage data and will be expected to gain a deep analytical understanding of these datasets.
Data pipeline development: design, implement, and maintain scalable data pipelines and architecture in both our on-prem and cloud environments. Build the next generation of DeepL's data products while contributing to the maintenance and migration of our legacy assets.
Data modeling: Develop and optimise data models to support analytics and reporting needs, ensuring data quality, consistency and integrity.
Collaboration: Work closely with data scientists, product analysts, and business stakeholders to understand data requirements and deliver solutions.
Performance optimisation: Monitor and enhance the performance of data systems, ensuring low latency and high reliability.
Data quality: Act as an owner for the quality and availability of our data. Apply data governance frameworks and champion data contracts to guarantee confidence in our analytics datasets.
Documentation & best practices: Maintain comprehensive documentation and promote best practices in data engineering and analytics.
Mentorship: Guide and mentor junior team members, fostering a culture of continuous learning and improvement.
Experience: 5+ years in data or analytics engineering roles, with a focus on cloud data platforms.
Data Modeling: Expertise in designing and implementing data models for analytics.
SQL: Advanced proficiency in writing complex queries and optimizing performance.
Python: Experience in data manipulation and scripting.
Cloud Platforms: Hands-on experience with cloud data warehouses like Snowflake, Databricks, or BigQuery. Experience with an on prem data warehouse such as Clickhouse is valuable.
Experience utilising data orchestration and transformation tools like dbt, Airflow, or similar
Understands best practice for querying OLAP, click stream, real time event processing databases.
Product mindset: Able to work directly with business stakeholders to translate analytics needs into user-friendly, highly-performant data products.
Troubleshooter: Experience diagnosing and resolving data issues and outages. Prepared to participate in on-call rotations, perform post-mortems, and proactively recommend improvements for engineering excellence.
Soft Skills: Excellent problem-solving abilities, strong communication skills, and a collaborative mindset.
Diverse and internationally distributed team: joining our team means becoming part of a large, global community with people of more than 90 nationalities. We're more than just colleagues; we're a group of professionals with a shared mission to connect diverse cultures. Our global presence is growing–we've doubled in size nearly every year, with our employees based in the UK, Germany, the Netherlands, Poland, the US, and Japan, and we continue to expand our network.
Open communication, regular feedback: as a language-focused company, we value the importance of clear, honest communication. We value smooth collaboration, direct and actionable feedback, and believe that leading with empathy and growth mindset makes us better together.
Hybrid work, flexible hours: we offer a hybrid work schedule, with team members coming into the office twice a week. This allows you to engage directly with your team and experience the unique energy of our workspace, while still enjoying the flexibility and comfort of working from home. With flexible working hours and trust in your productivity, we are in sync with your team’s general locations and time zones to foster effective and seamless collaboration.
Regular in-person team events: we bond over vibrant events that are as unique as our team, from local team and business unit gatherings, to new-joiner onboardings, to company-wide events that bring us all together–literally.
Monthly full-day hacking sessions: every month, we have Hack Fridays, where you can spend your time diving into a project you're passionate about and get the opportunity to work with other teams–we value your initiatives, impact, and creativity.
30 days of annual leave: we value your peace of mind. With 30 days off (excluding public holidays) and access to mental health resources, we make sure you're as strong mentally as you are professionally.
Competitive benefits: just as our team spans the globe, so does our benefits package. We've crafted it to reflect the diversity of our team and tailored it to align with your unique location, to ensure you feel supported every step of the way.
If this role and our mission resonate with you, but you're hesitant because you don't check all the boxes, don't let that hold you back. At DeepL, it's all about the value you bring and the growth we can foster together. Go ahead, apply—let's discover your potential together. We can't wait to meet you!
You are welcome at DeepL for who you are—we appreciate authenticity here. Our product is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all succeed, contribute, and think forward! So bring us your personal experience, your perspectives, and your background. It’s in our diversity that we will find the power to break down language barriers in the world.