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Open nowPosted 6 hours ago

Senior Data Engineer | Real-Time & Streaming

Alongside4 open roles

Where
Porto, Porto District, Portugal
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Your applicationOpen nowSenior Data Engineer | Real-Time & StreamingAlongside · Porto, Porto District, Portugal
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  2. 4.8%3 days
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  4. 22.1%14 days
  5. 37.6%30 days
  6. 59.1%60 days
This job: posted 6 hours ago

The posting

Alongside partners with organizations to drive digital transformation and build high-performing tech teams.

We are looking for a Senior Data Engineer to join a project with one of our clients operating in the financial markets industry.

You will design, build, and operate real-time data products on an enterprise data platform, taking ownership from event ingestion and stream processing to the APIs and services used by consumers. This is a hands-on role combining advanced streaming engineering, production ownership, and technical guidance.

Responsabilities:

  • Design and deliver end-to-end streaming data products using Apache Flink, Apache Kafka, and event-driven architectures.
  • Develop stateful stream-processing applications, including windowing, event-time handling, watermarks, checkpointing, and exactly-once processing guarantees.
  • Build and maintain resilient ingestion, transformation, and delivery pipelines for real-time and batch workloads.
  • Manage Kafka topics, partitioning, consumer groups, schemas, and schema evolution.
  • Design and develop REST APIs, streaming interfaces, and microservices with clear contracts, versioning, authentication, and rate limiting.
  • Deploy and operate services on AWS, using Infrastructure as Code with Terraform.
  • Embed data quality controls, automated testing, observability, and actionable alerting throughout the delivery lifecycle.
  • Build and improve CI/CD pipelines, including automated deployment, rollback, and safe release practices.
  • Monitor production services against agreed SLAs, investigate incidents, and optimise latency, throughput, reliability, and cost.
  • Apply security best practices across authentication, authorisation, encryption, secrets management, and least-privilege access.
  • Translate business requirements into technical designs, challenge assumptions, and propose practical solutions.
  • Review code and designs, mentor engineers, and contribute to engineering standards and technical documentation.

Requirements

  • 7+ years of professional experience in data engineering, including at least 3 years building and operating real-time or streaming systems in production.
  • Strong hands-on experience with Apache Flink in production, including DataStream APIs and Flink SQL.
  • Strong Java skills, with experience in Python/PyFlink or Scala also valued.
  • Solid experience with Apache Kafka, event-driven architectures, and schema management using Avro and Schema Registry.
  • Proven experience building APIs and microservices using REST and OpenAPI.
  • Strong AWS experience, including relevant services such as MSK, Kinesis, Managed Service for Apache Flink, Lambda, API Gateway, ECS/EKS, S3, and IAM.
  • Strong SQL and data modelling skills across streaming and batch workloads.
  • Experience with CI/CD tooling such as GitLab CI or GitHub Actions, alongside automated unit, integration, contract, and load testing.
  • Experience with observability tools such as CloudWatch, OpenTelemetry, Prometheus, and Grafana.
  • Fluency in English, both written and spoken.

Benefits

  • The opportunity to build production-grade real-time data products within the financial markets industry.
  • End-to-end ownership across streaming pipelines, APIs, and production operations.
  • Collaboration with platform engineers, product owners, and business stakeholders.
  • Scope to influence technical decisions, improve engineering practices, and mentor other engineers.
  • Hybrid working model in Porto.
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