Senior Data Engineer

Há 2 dias

Porto, Porto, Portugal Reach IT Tempo inteiro


Reach IT – Nearshore Data Engineering Opportunity

Our nearshore expertise sets us apart. We specialize in scalable, on-demand tech talent and operational excellence, helping global partners turn data into business value.

We are expanding our engineering team with a highly technical and high-impact role:


We are looking for a Data Engineer (AWS) – Hybrid Porto

to design, build, and operate reliable, maintainable, and scalable data solutions within a large-scale cloud transformation program.

If you are passionate about cloud data engineering, data pipelines, and modern data architectures — this challenge is for you

Your Responsibilities:

Advise on
data strategy, architecture, and implementation approaches
in a cloud-based environment;

Design and develop
end-to-end data pipelines
on public cloud platforms, primarily
AWS
(Azure/GCP when relevant);

Implement and optimize
Lakehouse architectures
, with a strong focus on
Apache Iceberg
(Hudi and Delta Lake as a plus);

Build, automate, and maintain
ETL processes, data workflows, and pipeline orchestration
using
Airflow, Step Functions, and AWS Workflow
;

Ensure high standards of
reliability, automation, maintainability, and security
across all delivered data solutions;

Support
incident resolution, root cause analysis, and preventive actions
when required;

Share knowledge and best practices with internal teams to strengthen technical capabilities;

Work closely with delivery managers, architects, project managers, developers, and business analysts in a collaborative setup;

Participate in relevant
ceremonies, reviews, and knowledge-sharing sessions
.

Skills & Experience:

3–5 years of experience building
data pipelines on public cloud platforms
, preferably
AWS
(Azure/GCP also considered);

1+ year of experience in
data solution architecture, design, development, and support
;


Database architecture, ETL, BI, Big Data, ML, and Advanced Analytics
;


Spark ecosystems
(Hadoop is a plus);


Pipeline orchestration
(Airflow, Step Functions, AWS Workflow);


Lakehouse architectures
(Iceberg) and data optimization techniques (e.g., compaction, Z-Order);

Software development and data transformation using
Python, SQL, SQL Server, SSIS packages, Docker, CI/CD, and automation
;

AWS services:
Lambda, Glue, Crawlers, Step Functions, DynamoDB, AWS Batch
;


DevOps and Agile principles
, infrastructure as code (
CloudFormation, Terraform
), and artifact/vulnerability management;

Awareness of
cloud foundation services
(networking, security, storage, IAM);

Strong communication and collaboration skills in
multicultural environments
;

Fluent in
English
(written and spoken);
French is a plus
.

Nice to Have:


Container-based applications
(Docker);


Linux-based infrastructure
;


Cloud-native architectures
.

#DataEngineer #AWSEngineer #CloudData #DataPipelines #ETL #Lakehouse #Iceberg #Spark #PythonJobs #SQL #DevOps #Terraform #CloudFormation #ReachIT #Hiring #Porto #HybridWork

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