Databricks / Spark Data Engineer Remote

Mdw
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English, Spanish

Job location

Tech stack

Agile Methodologies
Artificial Intelligence
Azure
Big Data
Data Systems
Database Queries
DevOps
Python
Performance Tuning
Pulumi
Data Processing
Microsoft Power Automate
Azure
Delivery Pipeline
Spark
Microsoft Fabric
Data Lake
Star Schema
Bicep
Kafka
Data Management
Terraform
Data Pipelines
Serverless Computing
Databricks

Job description

address complex challenges autonomously and with confidence. What You Will Do Design and deliver enterprise-scale Databricks and Spark data solutions, handling very high data volumes with parallelised execution across countries and markets Build and evolve Data Solutions on Azure & Microsoft Fabric Take end-to-end ownership of data pipelines, from data processing to BI-ready datasets, with a strong focus on performance tuning and scalability Deliver real consulting projects across industries, reacting quickly to evolving requirements Provide personalized support to clients, working closely with them on-site in a hybrid model, ensuring effective collaboration and solutions that align with their business objectives Strengthen seniority, autonomy, and delivery confidence within the team Collaborate with an international team of experts at MDW to grow together What We Value Core Requirements - Databricks & Big Data Proven experience delivering Databricks projects at very high data volumes

Requirements

with parallelised execution across countries or markets Strong Python and Py Spark expertise, with deep knowledge of Spark performance tuning and optimization Hands-on experience with Declarative Automation Bundles and CI/CD pipelines (Azure Dev Ops) Experience with end-to-end delivery: from data processing to BI-ready datasets Experience with Batch Data workflow design, including Medallion Architecture Experience with Data Modelling: Star schemas, Snowflake schemas Knowledge of Azure Data Platform: Data Factory, Synapse, Data Lake Gen2, Azure Functions, Logic Apps, etc. Strong SQL skills Infrastructure & Dev Ops Experience with CI/CD with Azure Dev Ops Knowledge of Ia C with Terraform, Bicep, ARM, or Pulumi Soft Skills & Language Ability to work with high autonomy and deliver quickly in a fast-paced, evolving project environment Strong client communication skills, ensuring effective management and a positive experience throughout the project Fluent in Spanish & English Certifications (Valued) Databricks certifications (strongly valued) Azure certifications: DP-203, AZ-104, AZ-304... Experience working in an Agile environment Nice to Have Real-time workflow design (Kafka, structured streaming, Delta Live Tables, Fabric Eventhouse, etc.) Master Data Management & Governance tools (Profisee, Purview) Knowledge of Microsoft Fabric platform Why MDW? Competitive salary based on your experience 6 weeks holidays Work on disruptive Data & AI projects with top clients Grow your expertise in the Microsoft and Databricks ecosystem within a dynamic international team ", "employmentType": "FULL_TIME", "industry": "Data Engineer", "jobLocation" : { "@type": "Place", "address": { "@type": "PostalAddress", "streetAddress": "Córdoba", "addressLocality": "Córdoba", "addressRegion": "Córdoba", "addressCountry": "ES", "postalCode": "n/a" } }, "salaryCurrency": "EUR", "title": "Sr data engineer", "hiringOrganization" : { "@type" : "Organization"

About the company

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