Data Engineering Tech Lead - Porto

Alpineo Consulting; Porto; Híbrido; EUR 60 000 - 80 000; Tempo integral

Resumo da oferta

A leading consulting firm in Porto seeks a Business Director to lead AWS-based data solutions. The ideal candidate will have extensive knowledge in AWS services, including Lambda and Glue, as well as proficiency in Python. Responsibilities include developing scalable data architectures and managing ETL processes. Candidates should possess a relevant degree and have strong problem-solving skills. This full-time position offers a hybrid work environment.

Qualificações

• Extensive experience with AWS services including Lambda, Glue, and Step Functions.
• Proficient in Python and experience with relational and NoSQL databases.
• Strong understanding of scalable data solutions.

Responsabilidades

• Design and maintain scalable data solutions using AWS.
• Develop solution architectures considering security and cost optimisation.
• Demonstrate proficiency in cloud networking and SQL.

Conhecimentos

Expertise in AWS

Proficiency in Python

Strong analytical and problem-solving skills

Technical leadership and communication

Experience with Apache Airflow

Production awareness and troubleshooting

Orchestration and workflow management

ETL tools and big-data experience

Formação académica

BS/MS degree in Computer Science or Engineering

Ferramentas

AWS services

MySQL

PostgreSQL

Redshift

Apache Airflow

Descrição da oferta de emprego

Business Director Alpineo Portugal - We are hiring!

We are seeking a skilled Tech Lead with a strong foundation in AWS and extensive experience in solution architecture, database management, and data engineering. The ideal candidate will possess deep expertise in AWS services such as Lambda, Glue, Step Functions, and CloudFormation, alongside proficiency in Python, SQL, and database technologies. Familiarity with Iceberg tables for managing large datasets is highly advantageous, and experience with Azure platform technologies is a nice‑to‑have.

HYBRID: 3X WEEK ONSITE

Key Responsibilities

• Utilise expert knowledge of AWS services like Lambda, Glue, and Step Functions to design, implement, and maintain scalable data solutions.
• Develop robust solution architectures considering scalability, performance, security, and cost optimisation.
• Demonstrate proficiency in cloud networking, including VPCs, subnets, security groups, and routing tables.
• Write and optimise SQL queries and identify performance bottlenecks.
• Manage ETL processes and data integration into Redshift, MySQL, and PostgreSQL.
• Create documentation and provide training to team members.
• Set up and manage logging and tracing mechanisms in AWS using services like AWS CloudTrail and AWS X‑Ray.
• Implement orchestration solutions using Apache Airflow and AWS Step Functions.
• Utilise Athena for interactive query analysis of large datasets in Amazon S3.
• Provide technical leadership and guidance, acting as a subject‑matter expert in AWS and data engineering technologies.
• Write comprehensive solution documents and technical documentation.
• Stay updated on emerging technologies and industry trends.
• Challenge business requirements and propose innovative solutions for efficiency and performance improvement.

The base skills we are searching for

• Expertise in AWS: Extensive experience with Lambda, Glue, Step Functions, CloudFormation, and CloudWatch.
• Strong solution‑architecture knowledge: Ability to design scalable and efficient data solutions on AWS, adhering toshaled best practices.
• Proficiency in Python and databases: Strong programming skills in Python and experience with relational databases (MySQL, PostgreSQL, Redshift) and NoSQL databases.
• Orchestration and workflow management: Experience with Apache Airflow and AWS Step Functions for automating and managing data workflows.
• ETL tools and big‑data experience: Knowledge of ETL tools and experience working with large volumes of data; preference for Kafka experience.
• Experience with Iceberg tables: Familiarity with Iceberg tables for managing large datasets efficiently and ensuring ACID transactions.
• Production awareness and troubleshooting: Proactive approach to production monitoring and troubleshooting, with the ability to anticipate and mitigate potential issues.
• Technical leadership and communication: Capability to evolve into a technical lead role, with excellent communication and teamwork skills.
• Strong analytical and problem‑solving skills: Ability to analyse requirements, define technical approaches, and propose innovative solutions.
• Documentation and requirements analysis: Experience writing solution documents and technical documentation, with the ability to challenge and refine business requirements.
• Exposure to Azure Databricks: Familiarity with Databricks for data engineering and analytics tasks.
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Candidate profile

• BS/MS degree in Computer Science, Engineering or equivalent working experience.
• English (B2 or higher level).
• Passion for technology and support.
• Problem‑solving skills.

Nice to have

• Knowledge in Apache Flink, Kafka, and other streaming data technologies.
• Experience with cloud‑native architectures and serverless computing.
• Certification in AWS, Azure or relevant technologies.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Finance – IT Services and IT Consulting