Data Engineer (AI/NLP)

Data Engineer (AI/NLP)

Berlin Vollzeit 43200 - 72000 € / Jahr (geschätzt) Kein Home Office möglich
Awin Global

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 diversity and building a leading partner ecosystem.
  • Mitarbeitervorteile: Enjoy a flexible four-day work week, remote work 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 offers support throughout the application process.

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.

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 Global

At Awin, we believe that data is the backbone of our success, and as a Data Engineer, you'll be at the forefront of this mission. Our dynamic and inclusive work culture fosters collaboration and innovation, providing you with ample opportunities for professional growth while maintaining a healthy work-life balance through our unique Flexi-Week program. Join us in a supportive environment where your contributions are valued, and together, we can shape the future of data-driven decision-making.
Awin Global

Kontaktperson:

Awin Global 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 problem-solving approach and how you collaborate with cross-functional teams. The ability to communicate technical concepts clearly and work effectively with data scientists and AI engineers is crucial for this position.

Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Engineer (AI/NLP)

Data Pipeline Development
Python Programming
Spark Framework
SQL Proficiency
Data Transformation Techniques
Cloud Technologies (AWS or Azure)
Natural Language Processing (NLP) Knowledge
Data Quality Assurance
Analytical Skills
Problem-Solving Skills
Collaboration with Data Scientists
Agile Methodologies
Attention to Detail
Adaptability to New Technologies
Effective Communication

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 such as data cleansing, building data pipelines, and collaborating with data scientists.

Tailor Your CV: Customize your CV to highlight relevant experience in data engineering, particularly with Python, Spark, and cloud technologies like AWS or Azure. Emphasize your analytical skills and any experience with NLP concepts, as these are crucial for the role.

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 demonstrate your ability to meet the job's requirements and how you can contribute to Awin's goals.

Showcase Your Technical Skills: In your application, clearly outline your technical skills related to data extraction, transformation, and storage. Provide examples of how you've successfully implemented data ingestion pipelines and ensured data quality in previous roles.

Wie du dich auf ein Vorstellungsgespräch bei Awin Global 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 built data pipelines or worked with big data tools.

✨Demonstrate Problem-Solving Abilities

Expect questions that assess your analytical and problem-solving skills. Prepare examples of how you've tackled data quality issues or optimized data processes in previous roles.

✨Communicate Clearly

Since the role involves collaboration with data scientists and cross-functional teams, practice explaining complex technical concepts in a clear and concise manner. This will show your ability to communicate effectively within a team.

✨Emphasize Adaptability and Learning

The job requires an openness to new technologies and continuous improvement. Share instances where you've quickly adapted to new tools or methodologies, and express your enthusiasm for learning and growth in the field of data engineering.

Data Engineer (AI/NLP)
Awin Global
Awin Global
  • Data Engineer (AI/NLP)

    Berlin
    Vollzeit
    43200 - 72000 € / Jahr (geschätzt)

    Bewerbungsfrist: 2027-03-01

  • Awin Global

    Awin Global

    500 - 1000
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