Senior / Principal Data Engineer

🔥 28 minutes ago

🇭🇺 Hungary – Remote

💵 Ft2M - Ft2.7M / month

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 14%

infoinfo
Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of RevoData

RevoData

11 - 50 employees

Founded 2022

💼 Consulting

🤖 Artificial Intelligence

🤝 B2B

Consulting • Artificial Intelligence • B2B

RevoData is a Netherlands-based data and AI consultancy that specializes exclusively in the Databricks platform. They provide Databricks-focused services including Managed Databricks, Databricks consultancy, architecture reviews, training, AI engineering, geospatial consultancy, and data migration and process optimization. RevoData is a Databricks Gold Partner with a high number of Databricks Champions and a fully Databricks-certified consulting team, focused on helping enterprises build modular, production-ready data & AI platforms.

📋 Description

• Shape how data platforms should be designed and operated • Lead or take ownership of data platform initiatives from concept to implementation • Make architectural decisions and improve platforms over time • Design scalable Databricks foundations, including Delta Lake, Unity Catalog and governance • Orchestrate data workflows and structure code and deployments • Design and build data flows from ingestion to consumption • Build and maintain data models, data pipelines and ETL/ELT solutions • Provide technical leadership and raise the capability of colleagues through reviews and discussions • Challenge assumptions, explain trade-offs and guide decisions with engineers, product owners and CTOs • Help clients unlock value from their data and build scalable platforms for real-world business use cases • For candidates new to Databricks, complete a 7-month crash course involving certifications, hands-on client project work and internal knowledge-sharing, transitioning to a permanent contract after agreed milestones

🎯 Requirements

• Experience leading or playing a key role in taking data platforms from idea to reality • Experience making architectural decisions, owning outcomes and improving platforms • Deep understanding of Databricks, including Delta Lake, Unity Catalog, governance, Workflows, code structure and deployments • New-to-Databricks candidates with strong data platform experience may apply and specialise through the offered track • Proficiency in Python and SQL • Experience with data modelling and building data pipelines • Experience with Azure, AWS or GCP • Experience building ETL/ELT pipelines and cloud-based data solutions • Ability to define approach, architecture and first steps for ambiguous data platform initiatives • Ability to balance pragmatic delivery with quality and long-term design • Ability to improve colleagues' technical capabilities through reviews and knowledge sharing • Ability to influence technical and business decisions and explain trade-offs • Databricks certifications are nice to have, including Data Engineer Professional and Machine Learning Engineer Professional • Databricks Champion status is nice to have

🏖️ Benefits

• Access to Databricks learning resources, certifications and partner academies • Regular internal knowledge-sharing sessions and workshops • Opportunities to work hands-on with modern data and AI technologies, including Databricks and the wider data engineering ecosystem • Flexible and collaborative working environment, with remote and hybrid working options • International team and collaboration with clients across different industries • Growth opportunities for technical expertise, consulting and technical leadership skills • Regular team activities and opportunities to connect with colleagues across the wider RevoData team • Sustainable ways of working and wellbeing-focused environment

Apply Now

Similar Jobs

🕒 September 3

Dynata

5001 - 10000

💼 Consulting

📣 Marketing

☁️ SaaS

Senior Data Engineer building enterprise lakehouse pipelines and models for Dynata. Delivering scalable ELT/ETL solutions while mentoring data engineering teams.

Airflow

Apache

AWS

Azure

Docker

Google Cloud Platform

Kafka

Kubernetes

PySpark

Python

Spark

SQL

Terraform

🕒 August 21

MWDN

51 - 200

💼 Consulting

📦 Logistics

🏥 Healthcare

Senior Data Engineer building scalable pipelines for MWDN’s ad-tech business intelligence platform. Processing SSP, DSP, ad-server, and CRM data for campaign optimization and analytics.

Airflow

Amazon Redshift

Apache

AWS

BigQuery

Cloud

ETL

Google Cloud Platform

Kubernetes

Python

Spark

SQL

Terraform

🕒 August 21

MWDN

51 - 200

💼 Consulting

📦 Logistics

🏥 Healthcare

Senior Data Engineer building scalable real-time data pipelines for a programmatic advertising company. Optimizing auction analytics, yield, and partner performance across massive ad-tech systems.

Airflow

Amazon Redshift

AWS

BigQuery

Cloud

ETL

Google Cloud Platform

Kafka

Python

Spark

SQL

🕒 August 19

Dynata

5001 - 10000

💼 Consulting

📣 Marketing

☁️ SaaS

Data Quality Engineer building automated quality frameworks for Dynata’s first-party data and insights platform. Monitoring, testing, and improving enterprise lakehouse data reliability.

🇭🇺 Hungary – Remote

💰 $31.5M Debt Financing - Dynata on 2024-05

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

Airflow

Apache

Python

Spark

SQL

🕒 January 15

Hiflylabs

51 - 200

💼 Consulting

🏥 Healthcare

📦 Logistics

Senior Data Engineer at Hiflylabs working on cloud data solutions. Collaborating on data modeling, technical leadership, and mentoring teams.

🗣️🇭🇺 Hungarian Required

AWS

Azure

Cloud