Data Software Engineer

Our different Product & Technology teams take care of various aspects around the analysis of the large volume of data that we constantly process to provide our customers with the best solution to fulfill their needs.

We crawl, process, analyze, enrich and search public data (speech, video, and text) with the help of modern Machine Learning technology, store the results in a manner structured for efficient use by our applications, and visualize it in the Talkwalker solution which our clients use to answer their questions.

Talkwalker is a leading consumer intelligence company with over 2,500 clients globally. Through our AI-powered analytics platform, we gather data from the conversations that happen around brands - online, in the media, and within companies themselves - to uncover, understand, and actionable consumer insights. We are extremely international, with our headquarter in Luxembourg and footprints (and offices) across the US (New York City), Germany, France (Paris), Singapore, India (Mumbai), Japan (Tokyo), Italy (Milan) and the UK (London). Key responsibilities:

• Develop and refine our core technologies using your strong Java development skills
• Participate in continuous R&D work for our machine learning algorithms to constantly improve our product
• Work on diverse and challenging new functionalities, such as detection of duplicates, sentiment, events, trends, automatic translation of text, content extraction, clustering, image classification and brand detection
• Write production code for large scale applications using tools like Cassandra and processing petabytes of data each day
• Work alongside data scientists and business stakeholders to design scalable data architectures that integrate into Talkwalker’s ecosystem
• Continuously monitor and tune performance of existing pipelines
• Collaborate with other Product & Technology Talkwalker teams to influence business and product delivery in a flexible company structure
• Showcase your work to over 2000 paying clients and more than 100,000 free users
• Be involved in Big Data initiatives, with a focus on the data processing
• Work in our multi-disciplinary engineering team from diverse backgrounds in an agile and flexible environment.

Must-have qualifications:

• Strong knowledge of the Java, Scala or Kotlin programming language and object-oriented programming concepts
• Proven experience creating stable, reliable and maintainable code
• Experience with technologies like Hadoop, Spark, Kafka, RabbitMQ or similar distributed data processing frameworks
• Understanding of NoSQL databases and their differences from traditional SQL databases (Concepts such as key-value stores)
• Understanding of distributed systems and how to work in clustered high throughput / high availability environments
• Knowledge of common networking protocols like HTTP but also TCP and UDP
• Understanding of distributed systems and messaging systems.

Nice-to-have qualifications:

• Mastery of ETL tools (Extract, Transform, Load) like Apache Airflow, Talend, or Apache NiFi
• Knowledge of data warehousing concepts, dimensional modelling, data architecture principles
• Familiarity with machine learning concepts and libraries (e.g., scikit-learn, xgboost & TensorFlow) enables collaboration with data scientists
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, including data-related services
• Experience in data formats and their life-cycle (JSON, XML, Protocol Buffers, Binaries).

What we offer:

• Competitive base salary and bonus;
• Optional health insurance;
• 3 Volunteering Days per year;
• 26 days of vacation + Bonus holidays;
• Pluxee Lunch Card.

What you can expect from this recruitment process:

• 1st interview with Zach, our Talent & Culture Business Partner - 30 minutes
• 2nd interview with one of our Software Engineers - 60 minutes
• 3rd step is a live, online coding session using Coderpad - 120 minutes
• Final interview with a P&T Director or Team Manager - 45 minutes