Data Engineer

New Work SE; Navarra; Presencial; EUR 40.000 - 80.000; Jornada completa

Descripción de la vacante

Join a forward-thinking company as a Data Engineer and be part of an international team dedicated to transforming data into impactful services. In this role, you will design and develop scalable components while contributing to machine learning models that benefit millions. This innovative firm values simplicity and predictability in code and offers a collaborative environment where your contributions will directly influence the development of cutting-edge data-driven solutions. If you are passionate about software development and eager to work with advanced technologies, this opportunity is perfect for you.

Servicios

12 weeks of Workation

Flexible home office

Tailored development opportunities

Competitive and transparent salary

Mobile devices for personal use

Restaurant tickets

Hackweek

Formación

• Strong programming skills in Scala and Python with experience in AWS.
• Knowledge in implementing scalable services for large data volumes.

Responsabilidades

• Collaborate with Data Engineers and Data Scientists to design and implement algorithms.
• Optimize legacy services and transform them to meet current needs.

Conocimientos

Scala

Python

SQL

Machine Learning

Data Processing

Software Development

Educación

BSc in Computer Science

Herramientas

AWS

Kafka

Kubernetes

Snowflake

DBT

Spark

Descripción del empleo

You will be part of an international team of Data Scientists and Data Engineers that is responsible for turning data into services and products which are used by millions of users. As a central data team, we work closely with product teams in an agile setting and focus on improving our existing data models, services, ML Models, and developing new data-driven services that benefit the users of XING.

We are now seeking a Data Engineer (experienced in Scala), either in Spain or in Vienna, who loves software development, helps with the design and development of scalable components, and contributes to our machine learning and LLM models. We strive to build testable, predictable, and simple code.

Responsibilities:

• Work in a team with Data Engineers and Data Scientists to contribute to the (technical) design, implementation, and evaluation of new algorithms, machine learning models, and other data-driven features and services.
• Take ownership of legacy services, optimize and transform them to current needs.
• Design and implement components in a sustainable fashion (e.g., having observability, computational costs, ease of use, future maintenance costs).
• Build, deploy, monitor, and operate services within our infrastructure while automating processes.
• Use technologies like Scala, Python, Kafka, Kubernetes, Snowflake, DBT, Spark, and AWS.
• Bridge and operate between on-prem and cloud infrastructure.

Minimum Requirements:

• BSc or higher degree in Computer Science or equivalent Software Engineering experience.
• Very good programming skills in Scala, Python, Snowflake, and experience in deploying and configuring on AWS.
• Knowledge and experience in implementing scalable software and services which process large volumes of data (e.g., real-time processing components, REST services), using search technologies (e.g., VectorDB, OpenSearch, etc.), data storage (e.g., relational databases, key-value stores, Snowflake), and related data processing technologies (e.g., Kafka, Akka, Play, etc.).
• Good knowledge in SQL.
• Proficient English language skills (German is not required).

Nice to Have:

• Experience in working with Graph and Vector databases.
• Experience in designing architectures and developing software components for distributed systems (e.g., in the context of micro-service architectures).
• Experience in building libraries, frameworks, or platform services that other Software Engineers use.
• Good knowledge in DBT.

Benefits:

• 12 weeks of Workation.
• Flexible home office.
• Tailored development opportunities.
• Competitive and transparent salary.
• Mobile devices for personal use as well.
• Restaurant tickets.
• Hackweek.