Data Engineer

Há 2 semanas

Lisbon, Portugal Optiwisers Tempo integral

Over 30 years providing HR solutions to clients and candidates Type:

Full-time, long-term

We are looking for an experienced

Data Engineer

to join our growing data team and contribute to the design, optimization, and operation of scalable data platforms. You will work with modern data technologies, supporting complex business use cases and ensuring high-performance, reliable data pipelines.

Databricks & Spark

Optimize slow-running Spark jobs to improve performance and cost efficiency.

Implement storage optimization using

Delta Lake

features such as Z-ordering and partitioning.

Manage and fine‐tune Databricks cluster configurations.

Install and manage libraries across environments.

Apply and maintain

Medallion Architecture

(Bronze, Silver, Gold layers).

Translate complex business requirements into efficient data processing logic.

PySpark & SQL

Apply partitioning and bucketing strategies for performance optimization.

Handle skewed data and optimize large‐scale joins.

Develop complex joins, advanced SQL queries, and window functions.

Use broadcast joins and repartitioning where appropriate.

Work with

CTEs

and structured/semi‐structured data, including

JSON

formats.

Perform detailed requirement analysis for complex business processes.

Develop, debug, and optimize ADF pipelines.

Implement event‐based triggers and incremental data loading strategies.

Create and manage

EDF pipelines

and orchestrate multiple dependent pipelines.

Design reusable and generic ADF pipelines to support multiple use cases.

Airflow

Develop and maintain Airflow DAGs.

Write custom operators and sensors.

Handle task retries, failure scenarios, and recovery strategies.

Use

XComs

for inter‐task data sharing.

Proven experience as a

Data Engineer

working with large‐scale data platforms.

Strong hands‐on experience with

Databricks, Spark, and PySpark .

Solid knowledge of

Delta Lake

and data lake best practices.

Experience with

Azure Data Factory

for pipeline orchestration.

Strong experience with

Apache Airflow .

Advanced SQL skills and strong understanding of data modeling.

Ability to analyze complex business requirements and translate them into technical solutions.

Strong problem‐solving skills and attention to performance optimization.

Nice to Have

Experience with cloud platforms (Azure preferred).

Knowledge of CI/CD for data pipelines.

Experience working in Agile environments.

Familiarity with data governance and data quality frameworks.

What We Offer

Opportunity to work on complex, high‐impact data projects.

Modern data stack and exposure to best‐in‐class technologies.

Competitive salary and benefits package.

Career growth, continuous learning, and technical development.

Hybrid or remote working model (depending on location).

Send your CV to

jobs@optiwisers.com

Subject:

Data Engineer (Banking)

Referrals increase your chances of interviewing at Optiwisers by 2x.

Seniority Level Mid‐Senior level

Employment Type Full-time

Job Function Information Technology and Consulting

Industries Banking