Big Data Engineer
Quick Summary
DataForge Labs is seeking a Big Data Engineer to design, implement, and maintain systems that process massive datasets across the organization. The role focuses on creating efficient pipelines, ensuring data availability, and enabling advanced analytics for business-critical decisions. This opportunity is tailored for fresh graduates with a strong technical foundation, while also appealing to early-career professionals with prior exposure to big data technologies.
Project Category or Industry
Data engineering and analytics solutions within the technology and enterprise consulting sector.
Type
Full-time hybrid role.
Experience Level
Entry-level candidates are encouraged to apply, although applicants with one to three years of industry experience in big data environments will be prioritized.
Duration
This is a long-term role with professional growth opportunities.
Location
Hybrid setup with primary offices in Dublin, Ireland. Candidates across Europe are welcome, with partial remote flexibility and collaboration during GMT hours.
Salary
Annual salary between €55,000 and €65,000 depending on qualifications and experience.
Payment Mode
Monthly salary paid via direct bank transfer.
Hiring Company Name
DataForge Labs.
Required Skills or Tools
Strong skills in SQL and Python are essential, along with knowledge of distributed computing frameworks such as Apache Spark and Hadoop. Familiarity with data warehousing solutions, cloud environments like AWS or Azure, and real-time data streaming tools such as Kafka will be highly valued.
Project Description
The Big Data Engineer will be responsible for building and maintaining systems that can efficiently handle massive volumes of structured and unstructured data. The purpose of this role is to support analytics teams by ensuring that clean, reliable, and timely data is always available.
Core Responsibilities and Expected Deliverables
Responsibilities include designing ETL processes, optimizing data pipelines, and monitoring data systems for reliability. Deliverables will consist of documented workflows, high-performance big data solutions, and dashboards that track the stability of data processes.
Required Experience and Preferred Qualifications
Applicants should hold a bachelor’s degree in computer science, data engineering, or a related field. Previous internships, academic projects, or professional experience with big data systems are beneficial. Preferred qualifications include certification in cloud platforms or experience with modern orchestration tools like Airflow.
Tools or Platforms to Be Used
SQL, Python, Apache Spark, Hadoop, Kafka, Airflow, and cloud-based platforms such as AWS EMR or Google Cloud Dataproc.
Language Requirement
Fluency in English is required.
Communication Style
Team members collaborate daily via Slack and Zoom, with formal reports delivered by email.
Time Commitment or Working Window
40 hours per week with flexible scheduling. Collaboration is expected during core hours of 9:00 to 15:00 GMT.
Payment Terms
Fixed monthly salary with annual reviews and performance-based incentives.
Evaluation Criteria
Candidates will be assessed based on technical proficiency, problem-solving ability, communication, and teamwork. The hiring process will include a technical assignment and structured interview rounds.
Other Requirements
A signed non-disclosure agreement is required. Standard time-tracking tools will be used during onboarding to align with project management practices.
About the Company
DataForge Labs is a technology company specializing in big data engineering, advanced analytics, and cloud-based solutions. Headquartered in Dublin, the company supports clients across finance, healthcare, and e-commerce sectors. DataForge Labs is dedicated to helping organizations unlock insights from their data by building scalable and reliable systems. More information can be found at www.dataforgelabs.com or by contacting careers@dataforgelabs.com.