Senior Data Engineer

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Key Talents provides a various rage of services to companies and individuals focusing on recruitment, training, career advisory, QA audit, IT consultancy services, QA training delivered for individuals or client’s internal teams.

You have a bachelor’s degree in Computer Science, Information Technology, or a related field;
You have proven experience in SQL database design and optimization;
You have worked hands on with Elasticsearch in the past;
You are proficient in creating and managing data pipelines using Azure Data Factory;
You have strong ETL development skills;
You’ve been praised for your excellent analytical and problem-solving skills;
You show a proactive mindset with the ability to work independently and collaboratively;
You are open to feedback and communication, even in the difficult moments of the projects
Preferably, you are familiar with other cloud platforms (AWS, GCP);
You have some experience with big data technologies or are interested in learning more about it;
You have good knowledge of data warehousing concepts;
You have obtained certifications in relevant technologies.
Experience with Snowflake implementation ( nice to have)

SQL Database Management: Design, implement, and maintain SQL databases to ensure efficient data storage and retrieval.
Optimize and tune SQL queries for maximum performance.
Elasticsearch Integration: Work with Elasticsearch to index, search, and analyze large volumes of data efficiently.
Collaborate with cross-functional teams to integrate Elasticsearch into our data ecosystem.
Azure Data Factory Pipelines: Develop and manage data pipelines using Azure Data Factory.
Ensure the reliability, scalability, and efficiency of data movement within the Azure cloud environment.
ETL Development and Maintenance: Design, develop, and maintain ETL processes to extract, transform, and load data from various sources into our data warehouse.
Implement data quality checks and ensure the integrity of data throughout the ETL process.
Proactive Problem Solving: Proactively identify and address data-related issues, ensuring data accuracy and consistency.
Collaborate with other teams to understand their data requirements and provide effective solutions.
Communication: Clearly communicate complex technical concepts to non-technical stakeholders.
Collaborate with data scientists, analysts, and other team members to understand data needs and deliver solutions.
Documentation: Maintain thorough documentation for all data engineering processes, ensuring knowledge transfer and best practices

Offer

A competitive income
A flexible layout of your hybrid working week, because only you can best assess how you can efficiently offer added value to the customer
An open & transparent company culture, with room to grow and make an impact
A group of cool colleagues who challenge each other every day with only one objective: to make each other successful!


Our Client works on large scale digital transformation programs in Marketing, Sales, Logistics, Customer Experience from roadmap to execution. They have clients from all industries, but they are leading the market in the automotive and service industry.
They are a team who came together from all over the world, creative, curious and always challenging the status quo. They focus on using technology to make direct business impact, aiming to help their clients’ bottom line and long-term sustainability.
They are setting up a Center of Excellence in Marketing Automation and Business Intelligence with a brand new team in Romania! This is a great opportunity to be part of the founding team and to start this new adventure.