Senior DevOps Engineer – Python & AWS | Data Platform
Decskill, an IT consulting firm, is hiring a Senior DevOps Engineer in Lisbon (hybrid) to support a data platform: building Python Lambda handlers, data transformation and automation tooling on AWS (EC2, S3, RDS, CloudWatch) with Git-based CI/CD. Kafka/Confluent, Snowflake and ECS Fargate/Kubernetes are pluses.
- Compensation
- Not disclosed
- Location
- Portugal
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 10+ years
- Category
- Data engineering
- Posted
Skills
Must have
- Senior-level DevOps experience, preferably in platform engineering or data engineering
- Strong Python skills: classes, metaprogramming, data classes, type validation, API development, algorithmic patterns
- Experience developing Python Lambda handlers, data transformation applications and automation scripts
- Working knowledge of AWS services: EC2, S3, RDS, VPC, IAM, CloudWatch
- Experience with Git workflows, CI/CD pipelines, conventional commits and merge requests
- Proficiency in shell scripting and command-line tools for operational automation
- Ability to support architectural decisions and review infrastructure and automation code
Nice to have
- AWS certifications
- Data platform infrastructure and database operations experience (relational and non-relational DBs, SQL, JSON, XML)
- Familiarity with Confluent Cloud, Kafka or event streaming concepts (topics, consumers, producers)
- Experience configuring AWS Lambda functions, including versioning and aliases
- Familiarity with AWS ECS Fargate or container orchestration platforms such as Kubernetes
- Experience with Snowflake
- Experience developing containerised Kafka consumers, serverless REST APIs or Confluent CLI automation
Full description
We are growing. And we are looking for talented people.
At Decskill, we believe that technological excellence is driven by human talent.
We are an IT consulting company with more than 10 years of consolidated experience in the market, focused on building long-term relationships with both our clients and our people. Today, we are a community of over 800 professionals, working from Lisbon, Porto, and Madrid, contributing to impactful technology initiatives.
As part of the Astek Group, we combine a strong local culture with a global presence, being active in around 23 countries across 4 continents. This allows us to offer an international context, diverse challenges, and long-term career opportunities, while staying close to our teams.
Are you looking for an environment that values curiosity and commitment? Here, your contribution has real impact and individual growth is taken seriously.
Location: Lisbon, Portugal
Work arrangement: Hybrid — 1 day per week on site, plus 3 additional days per semester for workshops, hackathons and other activities.
Mandatory Requirements
- Senior-level DevOps experience, preferably in platform engineering or data engineering.
- Strong Python development skills, including classes, metaprogramming, data classes, type validation, API development and algorithmic patterns.
- Experience developing Python Lambda handlers, data transformation applications and automation scripts.
- Working knowledge of AWS services, including EC2, S3, RDS, VPC, IAM and CloudWatch.
- Experience with Git workflows, CI/CD pipelines, conventional commits and merge requests.
- Proficiency in shell scripting and command-line tools for operational automation.
- Ability to support architectural decisions and review infrastructure and automation code.
Nice to Have
- AWS certifications.
- Experience with data platform infrastructure and database operations, including relational and non-relational databases, SQL, JSON and XML.
- Familiarity with Confluent Cloud, Kafka or event streaming concepts, including topics, consumers and producers.
- Experience configuring AWS Lambda functions, including versioning and aliases.
- Familiarity with AWS ECS Fargate or container orchestration platforms such as Kubernetes.
- Experience with Snowflake.
- Experience developing containerised Kafka consumers, serverless REST APIs or automation using the Confluent CLI.