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Open nowFirst seen 17 hours ago

Data Engineer

solaredge/71.00a90 open roles

Where
Sofia, Bulgaria
Work mode
Hybrid
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Your applicationOpen nowData Engineersolaredge/71.00a · Sofia, Bulgaria

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. solaredge/71.00a postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: first seen 17 hours ago

solaredge/71.00a median: 1 days open

The posting

Are you ready to power the future?

At SolarEdge (NASDAQ: SEDG), we're a global leader in smart energy technology, with over 4,000 employees, offices in 34 countries, and millions of installations worldwide.

Our innovative solutions include solar inverters, battery storage, backup systems, EV charging, and AI-based energy management. We're committed to making clean, green energy the primary power source for homes, businesses, and beyond.

With the growing demand for electricity, the need for smart, clean energy sources is constantly rising. SolarEdge offers amazing opportunities to develop your skills in a multidisciplinary environment, covering everything from research and development to production and customer supply. Work with talented colleagues, tackle exciting challenges, and help create a sustainable future in an industry that's always evolving and innovating. Join us and be part of a company that values creativity, agility, and impactful work.

Our AI & Algorithms group builds the intelligence behind our products, from predictive analytics and optimization to advanced models and Generative AI.

As a Senior Data Engineer, you will collaborate with researchers and engineers to build advanced data pipelines and infrastructure that enable machine learning models and drive research across SolarEdge platforms.

What will you be doing:

  • Build and maintain large-scale training dataset diverse sources.
  • Work closely with algorithm researchers to understand data requirements and deliver well-structured inputs that support experimentation and model development.
  • Build and maintain robust data pipelines that handle ingestion, feature creation, transformation, and storage, ensuring reliable and scalable access to data for modeling, research experiments, forecast generation, and online model deployment.
  • Establish best practices for versioning, reproducibility, metadata, lineage, and data quality validation.
  • Build internal Python utilities, APIs, and libraries to simplify data access for researchers.
  • Ensure data quality, integrity, and continuity across all pipelines and systems, enabling early detection of shifts or anomalies that could impact forecasts, model training, or online inference.
  • Support the team’s experiment infrastructure, including batch jobs, simulation workflows, and evaluation pipelines.

Requirements

Requirements:

  • BSc in Computer Science, Data Engineering, or a related field.
  • At least 5 years of software engineering experience, including a minimum of 3 years in data engineering.
  • Strong programming skills, particularly in Python, and experience building production-grade ETL/ELT pipelines.
  • Experience with Pandas, Polars or other data manipulation libraries
  • Experience with modern cloud or distributed data-processing ecosystems, including object storage (e.g., S3 or equivalent), workflow orchestration (e.g., Airflow), and distributed computer frameworks (Spark, Dask, Ray, or similar).
  • Experience with data modeling, schema design, efficient storage formats (e.g., columnar), partitioning strategies, and best practices for analytics and ML-ready datasets.
  • Strong proficiency in SQL and experience with a variety of database technologies, including relational, key-value, columnar, and time-series databases (e.g., Vertica, Cassandra, MySQL, Redis).
  • Experience with AWS services for data ingestion, storage, processing, and machine learning, such as S3, SageMaker, Lambda, and related tools.
  • Strong ownership mentality, willing to tackle gaps in knowledge and see projects through end-to-end;

Advantages:

  • MSc/PhD in Computer Science, Engineering, or related field.
  • Experience with time-series, sensor, IoT, or telemetry data.
  • Hands-on experience with distributed systems and cloud-native architectures (Kubernetes, Docker, hybrid/on-prem architectures).
  • Experience with streaming data platforms such as Kafka or Kafka Streams;

SolarEdge Offers:

  • Excellent remuneration and benefits package
  • Day to day usage of cutting-edge technologies
  • High-level medical insurance
  • Extended annual leave
  • Professional development
  • Great supporting team and environment
  • Being part of a global function and global knowledge-sharing
  • Hybrid model of work - twice per week work at the office

Only short-listed candidates will be contacted.

SolarEdge recognizes its talented and diverse workforce as a key competitive advantage. Our business success is a reflection of the quality and skill of our people. SolarEdge is committed to seeking out and retaining the finest human talent to ensure top business growth and performance.

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