# Senior Data Engineer | Real-Time & Streaming

> Alongside · Porto, Portugal (Hybrid) · Full-time · Posted 2026-11-09

**Workplace:** hybrid

**Department:** Euronext

## Description

**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.

## Apply

[Apply at Alongside](https://apply.workable.com/alongside-team/j/AB7117317A/apply)

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