Data Engineer (Data Center) at Coherent Solutions — , Poland | Racks & Rows
Data Engineer (Data Center)
Coherent Solutions·, Poland·Remote OK
Full-time
Free account to apply · application completed on Coherent Solutions
About This Role
Company Background
Our client is a leading global data center provider delivering hyperscale and edge infrastructure solutions across the Americas, EMEA, and Asia-Pacific. With 80+ data centers in 20+ countries, they partner with industry leaders such as Google, Oracle, NVIDIA, and Microsoft Azure to power the world’s digital infrastructure. Recognized as a USA TODAY Top Workplace for four consecutive years, the company continues to expand its global footprint and customer ecosystem.
Project Description
The project focuses on building a cloud-based data platform for processing high-volume sensor and telemetry data. The specialist will help develop and operate real-time and analytical data capabilities that support dashboards, applications, and downstream data consumers, while contributing to the platform’s migration and evolution in AWS.
Design, build, and operate real-time streaming pipelines with Apache Kafka (Amazon MSK) and Apache Flink for high-throughput sensor and telemetry data;
Define and manage streaming data contracts, including Avro schemas and schema evolution through a schema registry;
Build and maintain analytical serving layers using ClickHouse or similar columnar OLAP databases, and develop REST APIs for dashboards, applications, and downstream teams;
Develop and operate batch and scheduled data workflows with Apache Airflow (Amazon MWAA);
Build and operate a data lakehouse based on Apache Iceberg and Amazon S3, using PySpark on EMR Serverless and Amazon Athena;
Deploy and operate containerized data workloads on Kubernetes (Amazon EKS) using Argo CD, Helm, and GitOps practices;
Manage cloud infrastructure as code with Terraform and support CI/CD automation with GitHub Actions;
Monitor production data platforms with Prometheus and Grafana, troubleshoot issues, and participate in incident response;
Contribute to cloud migration initiatives by porting data pipelines from existing platforms, including Azure-based data platforms, to AWS;
Develop production-grade Java, Python, and SQL code with automated testing;
Use AI-assisted development tools to accelerate analysis and implementation while maintaining code quality and architectural integrity;
Keep technical documentation and operational runbooks current;
Job Requirements
7+ years of experience in data or software engineering, including production experience with streaming systems;
Ability to work independently in ambiguous and fast-changing environments;
Deep hands-on experience with Apache Kafka and Apache Flink or an equivalent stream-processing framework, including Java;
Strong Python and SQL skills across transactional and analytical databases;
Experience with Apache Iceberg, Delta Lake, or Hudi; Parquet, Avro, schema registries, Athena, or Spark SQL;
Production experience with ClickHouse, Druid, Pinot, or similar analytical databases, as well as SQL Server or PostgreSQL;
Experience with Kubernetes, Amazon EKS, Helm, Argo CD, and GitOps;
Experience with Terraform and GitHub Actions;
Strong knowledge of AWS services, including MSK, EMR Serverless, MWAA, S3, Athena, and IAM;
Knowledge of ML fundamentals, including feature engineering, model training and evaluation, and ML data requirements;
Familiarity with LLMs, prompt-based workflows, embeddings, vector search, anomaly detection, and forecasting;
Experience with observability, alerting, troubleshooting, and incident response;
Ability to communicate technical decisions clearly to technical and non-technical stakeholders;
Nice to Have
Working knowledge of Azure Event Hubs, Data Factory, and Synapse;
Experience with OT or industrial telemetry, including OPC UA, BMS/EPMS, or time-series sensor data;
Experience with cloud-to-cloud or on-premises-to-cloud migrations;
Experience with data center or other critical-infrastructure operations;
Familiarity with data quality frameworks, data contracts, and metadata management;
What Do We Offer
The global benefits package includes:
Technical and non-technical training for professional and personal growth;
Internal conferences and meetups to learn from industry experts;
Support and mentorship from an experienced employee to help you professional grow and development;
Health insurance;
Sports activities to promote a healthy lifestyle;
Flexible work options, including remote and hybrid opportunities;
Referral program for bringing in new talent;
Work anniversary program and additional vacation days.
