Auf einen Blick
- Aufgaben: As a Data Engineer, you'll collect, cleanse, and transform data for analysis and reporting.
- Arbeitgeber: Join Awin, a dynamic company focused on leveraging data for better commercial decisions.
- Mitarbeitervorteile: Enjoy a flexible four-day work week, remote working allowance, and a furniture package after 3 months.
- Warum dieser Job: Be part of a global team, collaborate with data scientists, and contribute to impactful projects.
- Gewünschte Qualifikationen: Bachelor's or Master's in data science or related field; 3+ years experience in data engineering required.
- Andere Informationen: Awin values diversity and inclusion, offering a supportive environment for all backgrounds.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
Purpose of position
Data sits at the heart of the company. This role is to ensure that Awin is able to leverage the data it has access to across the group and build out reporting to ensure we are able to make better commercial decisions and provide best-in-class campaign management to support client-facing departments.
As a Data Engineer, your responsibility is to collect data from different sources, sanitize, cleanse, transform, and consolidate these collected data, make them available for further analysis, and/or publish them as a report.
You understand data, business and technical requirements. You write clean and high-quality code that is easy to understand and maintain. You clearly understand the various methodologies of data extraction, transformation and storage and successfully apply your experience and knowledge of scripting, SQL, and conceptual OLTP and/or OLAP datasets.
Within the role, you can break down requirements with clear instructions. As a member of the Data Services department, you will work with a global team of data engineers and analysts, as well as other big data engineers within the organization.
Key Tasks & Accountabilities:
- Cleanse and preprocess raw text data for analysis and modelling purposes.
- Analyze text corpora, including customer support history and the company knowledge base.
- Extract actionable insights to inform project development and decision-making.
- Build and maintain data ingestion pipelines from various sources like Salesforce to the data lake.
- Ensure data quality, consistency, efficiency, and integrity during the ingestion and transformation processes.
- Assist in indexing and vectorizing text data.
- Collaborate with data scientists to select and implement appropriate embedding methods.
- Work closely with data scientists and AI engineers to align data engineering efforts with machine learning requirements.
- Participate in team meetings and contribute to project planning and strategy discussions.
Education & Experience:
- Bachelor or Master’s degree in data science, data engineering, or Computer Science with a focus on math and statistics / Master’s degree is preferred.
- 3+ years experience as data engineer building data pipelines with Python, Spark or similar.
- Strong foundation in computer science principles and statistical methods.
- Strong experience with cloud technology (AWS or Azure).
- Strong experience with the creation of data ingestion pipelines and ET processes.
- Strong knowledge of big data tools such as Spark, Databricks and Python.
- Basic understanding of common machine learning techniques.
- Familiarity with Natural Language Processing (NLP) concepts.
- Strong knowledge of scrum practices and agile mindset.
Skills & Core Competencies:
- Strong Analytical and Problem-Solving Skills with attention to data quality and accuracy.
- Clear Communication of technical concepts and effective collaboration across teams.
- Adaptability to New Technologies and a proactive approach to learning and growth.
- Team-oriented mindset, working closely with data scientists, AI engineers, and cross-functional teams.
- Openness to Feedback and collective problem-solving for continuous improvement.
- Team player, willing to improve yourself.
Our Offer:
- Flexi-Week and Work-Life Balance: We prioritise your mental health and well-being, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves.
- Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately.
- Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions.
- Remote Working Furniture Package: After 3 months of employment, you will be eligible for a furniture package, which should enable you to set up a proper workplace at your remote working location.
- Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer program.
Established in 2000, Awin is proud of our dynamic, social, and inclusive culture.
Like all businesses, we’ve had to adapt and nurture our culture in a virtual environment. Our virtual ‚Life @ Awin‘ hub brings our colleagues from across the globe together for various social activities.
Diversity & Inclusion are paramount to us, and we proudly pursue and hire diverse team members. We champion uniqueness and authenticity; this is who we are at our core. Our network of affiliate partnerships is diverse and transparent, as are the employees powering our vision to build the world’s leading open partner ecosystem. We welcome all backgrounds, identities, and experiences. If you need support at any point in the application or interview process, please let us know.
Apply now to begin the next stage of your career at a progressive company that supports both your professional and personal development.
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Data Engineer (AI/NLP) Arbeitgeber: Awin

Kontaktperson:
Awin HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Engineer (AI/NLP)
✨Tip Number 1
Familiarize yourself with the specific data tools mentioned in the job description, such as Spark and Databricks. Having hands-on experience or projects showcasing your skills with these technologies can set you apart from other candidates.
✨Tip Number 2
Highlight your experience with cloud technologies like AWS or Azure during your conversations. Be prepared to discuss how you've utilized these platforms in previous roles to build data pipelines and ensure data quality.
✨Tip Number 3
Showcase your understanding of Natural Language Processing (NLP) concepts. If you have any relevant projects or experiences, be ready to discuss them in detail, as this will demonstrate your alignment with the role's requirements.
✨Tip Number 4
Prepare to discuss your collaborative experiences with data scientists and AI engineers. Emphasizing your ability to work in cross-functional teams and your openness to feedback will resonate well with the company's team-oriented culture.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Engineer (AI/NLP)
Tipps für deine Bewerbung 🫡
Understand the Role: Before you start writing your application, make sure you fully understand the responsibilities and requirements of the Data Engineer position. Familiarize yourself with key tasks like data cleansing, building data pipelines, and collaborating with data scientists.
Tailor Your CV: Customize your CV to highlight relevant experience in data engineering, especially with Python, Spark, and cloud technologies like AWS or Azure. Emphasize your analytical skills and any experience with Natural Language Processing (NLP) concepts.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the company's mission. Mention specific projects or experiences that align with the job description, particularly those involving data ingestion pipelines and ET processes.
Showcase Your Technical Skills: In your application, clearly outline your technical skills, including your proficiency in SQL, scripting, and big data tools. Provide examples of how you've successfully applied these skills in previous roles to solve problems or improve processes.
Wie du dich auf ein Vorstellungsgespräch bei Awin vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data engineering tools and technologies, especially Python, Spark, and cloud platforms like AWS or Azure. Highlight specific projects where you've built data pipelines or worked with big data tools.
✨Demonstrate Problem-Solving Abilities
Prepare examples of how you've tackled complex data challenges in the past. Discuss your analytical approach and how you ensure data quality and integrity during processes like cleansing and transformation.
✨Communicate Clearly
Since collaboration is key in this role, practice explaining technical concepts in a way that non-technical team members can understand. This will show your ability to work effectively across teams, especially with data scientists and AI engineers.
✨Emphasize Adaptability and Learning
Share instances where you've quickly adapted to new technologies or methodologies. Highlight your proactive approach to learning, as this aligns with the company's emphasis on growth and continuous improvement.