👨🏻‍💻 postech.work

Data Engineer

Excelloit Consultancy Services • 🌐 In Person

In Person Posted 13 hours, 29 minutes ago

Job Description

🚀 Databricks SQL Data Engineer – Barcelona / Sant Cugat (Hybrid)

📍

Location:

Barcelona, Sant Cugat – Spain (Hybrid Work)

💼

Employment Type:

Full-time

💶

Salary:

€45,000 per annum

About the Role

We are looking for an experienced

Databricks SQL Data Engineer

to join our growing data team in Barcelona. In this role, you will design, build, and optimize large-scale data pipelines using

Databricks on AWS

, driving data innovation and performance across complex enterprise environments.

Key Responsibilities

Design and maintain end-to-end

data engineering pipelines

, ensuring reliability, scalability, and quality.

Develop and optimize

Databricks SQL notebooks, workflows/jobs, DABs, DLT, Delta/Iceberg

.

Write efficient and performant

SQL queries, functions, and procedures

to support analytical and operational use cases.

Collaborate with cross-functional teams (Data Architects, Analysts, DevOps, and Infra Teams) to deliver robust data solutions on

AWS (S3)

.

Manage and safeguard

customer data (PII, GDPR)

and implement best practices in data governance.

Support and enhance enterprise

Databricks deployments

, contributing to continuous improvements.

Requirements

Technical Skills:

5+ years in

data engineering, data architecture, or data processing

.

Minimum

2–3+ years

hands-on experience with

Databricks SQL on AWS

for large-scale data projects.

Strong experience with

Python, YAML

, and

SQL performance tuning

.

Familiarity with

CRM / Customer360

projects is a plus.

Practical experience in handling

data governance, PII, and GDPR compliance

.

Process \& Tools:

Proven ability to translate business requirements into scalable data solutions.

Experience with

GitHub, Jira, MS Teams

, and working within

Agile

environments.

Soft Skills:

Strong communicator with excellent documentation and presentation abilities.

Proactive, self-driven, and collaborative team player.

Passionate about learning and promoting

Databricks best practices

.

Certifications (Preferred):

AWS

and/or

Databricks

certifications are highly valued.

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