Staff Analytics Engineer, DeepL
Globlal communications platform powered by Language AI
Job no longer available
Globlal communications platform powered by Language AI
1001+ employees
Job no longer available
1001+ employees
Company mission
To break down language barriers for businesses and individuals around the world.
Role
Who you are
- Profound experience of data management, ETL pipelines and data model design
- Passionate about working with and understanding data
- Have a strong understanding of data-centric systems
- Strong experience with high-volume SQL and SQL query optimization strategies
- Experience with analytical Data Warehouses such as Clickhouse or Redshift is a requirement
- In addition to SQL and Python, experience in other programming languages is a plus
- Experience of building and maintaining a distributed data infrastructure operating at terabyte scale is a plus
- Experience with running or maintaining dbt is a plus
- You are a good communicator and team player
- You are fluent in English
What the job involves
- We would prefer someone who can work in our London office but will consider remote candidates. However, you do need to be able to work in the UK
- 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 data-focused Staff Analytics Engineer to join a team of versatile engineers that build and maintain data models, libraries and the tooling supporting data processing at DeepL
- The data platform combines various data sources, both internal and external, and makes them available to our stakeholders across the company: Developers, Product Development, Data Science and Management
- You will work in a cross-functional team with product managers, data scientists, data engineers and developers to solve complex technical challenges. You may work with revenue, customer or usage data and gain an analytical understanding of these datasets
- Collaborate with team members to collect business requirements, define successful outcomes, and design data models
- Leverage raw data in our data warehouse to build a curated data models
- Write production quality ELT code (Python, SQL) with an eye towards performance and maintainability
- Create and maintain architecture and systems documentation
- Maintain our data catalog as a scalable resource to support self-service and serve as single source of truth for data definition
- Provide data modeling expertise to all team members through code reviews, pair programming, and training to help deliver optimal, DRY, and scalable database designs and queries
- Become a domain expert in the data you are work with
- Improve, manage, and teach code maintainability and performance standards in code submitted and reviewed
- Help our team maintain and improve the infrastructure for data collection, processing, management and analysis
- Research, design, implement and drive new solutions and software for solving complex data processing problems across all of DeepL
- Work on our internal tools to make the data easily accessible to our internal stakeholders
Our take
DeepL is a deep tech company developing neural networks that help people work with languages. Committed to advancing precision and idiomatic comprehension in business translation.
Founded in 2017, DeepL quickly became a leader in language translation with its advanced generative AI model, setting new standards for accuracy and sophistication. Serving over 100,000 customers across media, education, transportation, and more, the company enhances communication efficiency across multinational teams and customer interactions via web apps, and integrated platforms, solidifying its industry position.
With funding, the launch of its new Write product, and the recent announcement of three additional languages to its platform, the company plans to expand globally, focusing on the US, Asia, and LATAM. As businesses prioritize accuracy, privacy, and security in translations, DeepL is well-positioned to meet the growing demand for specialised AI solutions in the enterprise sector.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
103% employee growth in 12 months
Glassdoor (4.2)
Trustpilot (2.1)
Company
Funding (2 rounds)
May 2024
$300m
LATE VC
Jan 2023
$115.3m
LATE VC
Total funding: $415.3m
Company benefits
- 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
Company HQ
GE Ehrenfeld, Köln, Germany
Leadership
Jaroslaw Kutylowski
(Founder & CEO)Originally the Head of Software Development at Andagon, before moving on to serve as CTO at Linguee - which resulted in the founding of DeepL.
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