N Consulting Global
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer specializing in Apache Flink on AWS, with a contract length of "unknown" and a pay rate of "unknown." Key skills include production Flink, AWS, Java, Python, and Kafka integration.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
February 25, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Java #MongoDB #VPC (Virtual Private Cloud) #Observability #Python #Data Engineering #Code Reviews #IAM (Identity and Access Management) #S3 (Amazon Simple Storage Service) #AWS (Amazon Web Services) #Documentation #Grafana #Kafka (Apache Kafka) #Deployment #Cloud #Storage #Splunk
Role description
Senior data engineer (Apache Flink)
Role overview
You will bring deep hands-on expertise in production Flink on AWS, working closely with a senior FT engineer
and AWS stakeholders. A key part of the role is knowledge transfer through pairing, reviews and clear
documentation so the capability can be supported and extended by FT.
Responsibilities
● Design and implement stateful stream-processing jobs in Apache Flink (primarily Java), to process user
interaction events and produce near real-time outputs for downstream services.
● Integrate Flink with Kafka/AWS MSK, S3 and the chosen online store (MongoDB/MongoDB Atlas).
● Own streaming non-functional requirements: correctness, fault tolerance, checkpointing/recovery,
backpressure handling, and performance tuning.
● Define and implement production readiness: observability (metrics/logs/tracing), alerting, dashboards
and runbooks.
● Support CI/CD and infrastructure-as-code practices to deploy and operate Flink workloads safely in AWS.
● Enable the team via knowledge transfer (pairing, design/code reviews, documentation and handover).
Skills and experience
Essential
● Strong experience building and operating production Apache Flink applications (event-time concepts,
windows/watermarks, state, checkpointing and fault tolerance).
● Hands-on AWS experience operating streaming/data workloads (IAM, networking/VPC basics,
deployment, observability and incident troubleshooting).
● Experience integrating Flink with Kafka (including AWS MSK) and cloud services/storage (e.g., S3).
● Highly proficient in Java and Python (production experience required).
● Strong software engineering fundamentals: clean, maintainable code; pragmatic testing; effective code
review.
● Comfort mentoring/pairing with engineers to up-skill the team.
Desirable
● Experience with Amazon Managed Service for Apache Flink and/or running Flink on EKS/ECS.
● Experience with MongoDB or MongoDB Atlas for low-latency, online-serving use cases.
● Infrastructure-as-code (CloudFormation) and modern observability tooling (CloudWatch, Grafana,
OpenTelemetry, Splunk).
Senior data engineer (Apache Flink)
Role overview
You will bring deep hands-on expertise in production Flink on AWS, working closely with a senior FT engineer
and AWS stakeholders. A key part of the role is knowledge transfer through pairing, reviews and clear
documentation so the capability can be supported and extended by FT.
Responsibilities
● Design and implement stateful stream-processing jobs in Apache Flink (primarily Java), to process user
interaction events and produce near real-time outputs for downstream services.
● Integrate Flink with Kafka/AWS MSK, S3 and the chosen online store (MongoDB/MongoDB Atlas).
● Own streaming non-functional requirements: correctness, fault tolerance, checkpointing/recovery,
backpressure handling, and performance tuning.
● Define and implement production readiness: observability (metrics/logs/tracing), alerting, dashboards
and runbooks.
● Support CI/CD and infrastructure-as-code practices to deploy and operate Flink workloads safely in AWS.
● Enable the team via knowledge transfer (pairing, design/code reviews, documentation and handover).
Skills and experience
Essential
● Strong experience building and operating production Apache Flink applications (event-time concepts,
windows/watermarks, state, checkpointing and fault tolerance).
● Hands-on AWS experience operating streaming/data workloads (IAM, networking/VPC basics,
deployment, observability and incident troubleshooting).
● Experience integrating Flink with Kafka (including AWS MSK) and cloud services/storage (e.g., S3).
● Highly proficient in Java and Python (production experience required).
● Strong software engineering fundamentals: clean, maintainable code; pragmatic testing; effective code
review.
● Comfort mentoring/pairing with engineers to up-skill the team.
Desirable
● Experience with Amazon Managed Service for Apache Flink and/or running Flink on EKS/ECS.
● Experience with MongoDB or MongoDB Atlas for low-latency, online-serving use cases.
● Infrastructure-as-code (CloudFormation) and modern observability tooling (CloudWatch, Grafana,
OpenTelemetry, Splunk).
