Data Engineer (Bulgaria, Romania)

Hello, let’s meet!

We are Xebia - a place where experts grow. For nearly two decades now, we've been developing digital solutions for clients from many industries and places across the globe. Among the brands we’ve worked with are UPS, McLaren, Aviva, Deloitte, and many, many more.

We're passionate about Cloud-based solutions. So much so, that we have a partnership with three of the largest Cloud providers in the business – Amazon Web Services (AWS), Microsoft Azure & Google Cloud Platform (GCP). We even became the first AWS Premier Consulting Partner in Poland.

Formerly we were known as PGS Software. In 2021, we joined Xebia Group – a family of interlinked companies driven by the desire to make a difference in the world of technology.

Xebia stands for innovation, talented team members, and technological excellence. Xebia means worldwide recognition, and thought leadership. This regularly provides us with the opportunity to work on global, innovative projects.

Our mission can be captured in one word: Authority. We want to be recognized as the authority in our field of expertise.

What makes us stand out? It's the little details, like our attitude, dedication to knowledge, and the belief in people's potential - emphasizing every team members development. Obviously, these things are not easy to present on paper – so make sure to visit us to see it with your own eyes!

Now, we've talked a lot about ourselves – but we'd love to hear more about you.

Send us your resume to start the conversation and join the #Xebia.

You will be:

• working with data scientists and analysts to create and deploy new product features on the e-commerce website, in-store portals, and clients’ mobile apps,
• establishing scalable, efficient, automated processes for data analysis, model development, validation, and implementation,
• writing efficient and scalable software to ship products in an iterative, continual-release environment,
• contributing to and promoting good software engineering practices across the team and building cloud-native software for ML pipelines,
• contributing to and reusing community best practices,
• developing, training and deploying machine learning models,
• building a real-time Fraud Analytics systems.

Requirements

Your profile:

• 4+ years of experience developing and deploying machine learning systems into production,
• 8+ years of experience as a data engineer or software developer,
• strong programming skills like Python,
• experience with Spark Cluster, Airflow, Azure DevOps, CI/CD pipelines, and containerization,
• experience in Spark3+, MLFlow, containerization and Python, Scikit-learn, Pandas, NumPy,
• hands-on experience with Affinity with Advanced Analytics, Data Science, NLP,
• deep understanding of batch and streaming data (S3, Spark, Kafka, Flink),
• experience in building complex ETL,
• expertise in SQL and noSQL,
• good understanding of RDBMS, non-SQL and time-series databases,
• experience with Google Cloud Platform (GCP) and managed GCP services (GKE, GCS, BQ, Dataproc, Dataflow),
• deep knowledge of public Cloud Analytics,
• monitoring, observability, logging, alerting,
• very good verbal and written communication skills in English.

Work from the European Union region and a work permit are required.

Nice to have:

• experience with Go, Java or Scala,
• expertise in managed Azure or AWS services,
• experience in Kubernetes.

Recruitment Process:

CV review – HR call – Interview – Client Interview – Decision