Open to work
Remote / hybrid in Europe
Real-time data systems
Junior Data Engineer
Junior data engineer for streaming, telemetry, and operational data systems.
I am building toward data engineering roles where real-time data, telemetry, and system reliability matter. My background combines an applied computer science degree, hands-on MQTT monitoring work at Sonaca, and 9 years of operational experience in critical infrastructure environments.
Junior Data Engineer, Data Platform Engineer, Streaming Data Engineer
Python, SQL, MQTT, telemetry ingestion, monitoring dashboards, operational reliability
Industrial IoT, manufacturing data, infrastructure systems, real-time pipelines
Python
SQL
MQTT
Kafka learning path
Industrial IoT
Operational reliability
About
From field operations to data engineering.
I did not come into tech through a purely academic path. Before software, I spent nearly a decade in water infrastructure environments where uptime, traceability, and disciplined execution were part of daily work.
What shapes my approach
I care about systems that stay reliable under real-world pressure.
That operational background shapes how I think about data engineering: ingestion should be dependable, monitoring should be actionable, and pipelines should support real operational decisions.
During my studies, I moved into software development and specialized in data-oriented systems. My final project at Sonaca gave me practical experience with live telemetry, MQTT messaging, industrial security constraints, and the realities of building usable interfaces around streaming machine data.
Strength
Operational mindset
I naturally think about resilience, observability, and what happens when systems are stressed, delayed, or disconnected.
Focus
Industrial and streaming data
I am especially motivated by telemetry, event streams, machine data, and infrastructure-heavy environments.
Goal
Production-grade junior role
I am looking for a team where I can contribute early, deepen my data engineering practice, and grow into larger systems responsibility.
Core competencies
- Python and SQL for data processing and validation
- Real-time telemetry ingestion and monitoring workflows
- MQTT messaging and industrial IoT data integration
- Operational mindset shaped by critical infrastructure work
Keywords for recruiters
Data engineering, ETL, ELT, streaming data, event-driven systems, industrial telemetry, MQTT, SQL, PostgreSQL, Python, monitoring, dashboards, historian validation, Kafka, Spark Streaming, Airflow, dbt, Docker, Agile/Scrum.
Projects
Work that shows how I think about live data.
My strongest project so far is the Sonaca industrial monitoring system, supported by continuous hands-on learning in modern data engineering tools and patterns.
Featured project
Real-time industrial monitoring at Sonaca
Designed and built an industrial monitoring application connected to Siemens BFC Gateway telemetry through MQTT, turning live machine messages into structured data for dashboards and operator visibility.
The application handled sub-second telemetry updates, maintained recent machine state, supported alerting against configurable thresholds, and validated historical records through SQL queries against AVEVA Historian.
The project also required collaboration across IT, maintenance, IoT, and cybersecurity teams in an industrial environment shaped by IEC-62443 security constraints.
What I built
- MQTT subscription flow for continuous telemetry ingestion
- Asynchronous in-memory model for latest machine values
- Fallback logic to preserve last-known values during connection loss
- Threshold-based alerting using configurable machine parameters
- SQL validation against historian data for troubleshooting and comparison
- Role-based access patterns for operator and supervisory views
- Dashboard navigation by production area, machine, and sensor
Technical environment
MQTT
JSON
SQL
AVEVA Historian
Industrial IoT
Alert logic
Agile/Scrum
IEC-62443
Learning project
Streaming systems learning track
Building practical depth through the DataTalksClub Data Engineering Zoomcamp, with emphasis on Kafka, Spark Streaming, orchestration, and end-to-end data workflows.
Portfolio direction
More deployable data projects coming
This portfolio is still evolving. I plan to add public projects around orchestration, warehouse modeling, and streaming ingestion patterns as they become production-ready.
Experience
Experience that combines domain reality with technical growth.
Final academic project
Sonaca
Built a real-time monitoring application for aerospace manufacturing data, with live telemetry ingestion, historian validation, and dashboards designed for operational use.
- Telemetry ingestion through MQTT
- SQL-based historian validation
- Dashboard design for operational users
Previous career
Water infrastructure field operations
Worked in environments where reliability, maintenance discipline, traceability, and practical incident response were central to daily operations.
- Critical infrastructure operations
- Maintenance discipline and troubleshooting
- Process awareness and accountability
Education
Bachelor's in Applied Computer Science
Transitioned into software and data systems with a clear interest in streaming, data pipelines, and industrial digitalization.
- Applied Computer Science degree completed in 2025
- Data-oriented systems and software foundations
- Bridge from operations into engineering
Stack
Current strengths and active learning areas.
I already work comfortably with core development and data tools, and I am actively extending that base into modern data engineering systems and streaming workflows.
Programming & data
Python, SQL, PostgreSQL, Git, Linux, data modeling basics
Messaging & ingestion
MQTT, JSON payload processing, REST APIs, real-time telemetry flows
Platforms & workflow
Docker, Azure exposure, Agile/Scrum, industrial collaboration contexts
Currently learning
Kafka, Spark Streaming, Airflow, dbt, cloud data platforms
Best-fit role types
Junior data engineering roles with real systems exposure
Best aligned with teams working on data pipelines, telemetry ingestion, monitoring platforms, backend data workflows, and industrial or operational systems.
Strength in context
Technically junior, operationally mature
I bring early-career engineering skills combined with strong habits around reliability, traceability, and working in production-minded environments.
Languages
Romanian, English, French
Romanian native speaker, fluent English, and French at C1 level.
Next additions
Public case studies and deeper project breakdowns
I am gradually turning ongoing learning work into portfolio-ready examples with code, architecture notes, and deployment details.
Contact
Looking for a junior data engineer who understands operational reality?
I am open to junior data engineering opportunities involving streaming data, telemetry, backend data workflows, or industrial environments where reliability matters.
If your team works on pipelines, monitoring, manufacturing data, or infrastructure systems, I would be glad to connect and discuss how I can contribute.
Email
georgescumvlad@gmail.com
GitHub
github.com/vladgme
Status
Open to junior roles, remote or hybrid in Europe, especially in data and industrial contexts