Data Engineer

Data Engineer – Consulting assignment within tech & communications security At WeQuel, we are now looking for a Data Engineer, remote or hybrid, where you become an important part of the Data Infrastructure team responsible for building and maintaining a scalable, robust, self-service analytics platform. You will play a key role in keeping data flowing reliably at massive scale while helping shape the tools, frameworks and best practices that support every team on the platform. As a consultant with us, you get the opportunity to work with one of our clients, a leading company within communication and security technology whose mission is to build trust in communication by making it safer, smarter and more efficient. Born in Sweden and trusted by the world, the company is used by over 450 million active users every month across 190+ countries, identifies over 15 billion calls daily to help users avoid spam and scams, and is powered by a team of 450+ employees representing 45+ nationalities who take initiative, own their work and keep raising the bar. Your responsibilities: Maintenance and improvement of the ingestion pipeline, reliably delivering billions of events daily within a defined SLA Support for all teams in building and optimizing their complex pipelines Close collaboration with other teams to identify pain points and problems around the platform Development of new tools and frameworks to improve the data platform Close collaboration with data scientists and data analysts to support their work in production Work on large-scale projects such as building an ML platform and streaming use cases Establishing best practices and processes around software and data development Hands-on work building, scaling and operating production-grade data platforms/infrastructure, including reliability, observability, performance and self-service capabilities You work in a dynamic environment where you independently drive your own workflow forward while collaborating with multiple interfaces within the organization. Requirements: 5+ years of experience in data engineering Fluent in English, spoken and written Experience working with an orchestration tool (e.g. Airflow) Experience working with large data sets and building complex ETL pipelines Experience working with cloud providers such as GCP, AWS, or Azure Strong programming skills in Spark with Scala and Python Experience with CI/CD tools such as Jenkins and Git Strong understanding of software engineering practices and principles Self-motivated, with excellent problem-solving and communication skills and a proven ability to take initiative and own problems through to resolution Nice to have: Experience with messaging systems such as Kafka Knowledge of Kubernetes Hands-on experience with streaming platforms Experience managing a data warehouse in BigQuery or Redshift Assignment details Start: 2026-09-07 End: 2027-06-30 Workload: 100% Location: Remote We offer At WeQuel, you become part of a consulting team that values people first – we believe success is created through engagement, collaboration and development. We offer a flat organization with short decision-making paths, a strong sense of community, and the opportunity to influence your own development.