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Senior Data Engineer

mpsolutionsBudapest, Budapest, Hungary
On-site Full-time

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Experience Level

Senior

Qualifications

Requirements:Robust experience in data engineering or closely related backend/data roles. Strong practical experience with Python. Familiarity with Scala or Java is a significant advantage. Demonstrated experience working with large datasets and distributed systems. Proficient in ETL/ELT pipelines and data integration solutions. Awareness of Kafka or other streaming technologies is preferred. Understanding of data modeling, mapping, and lineage. Knowledge of statistics and applied mathematics. Exposure to machine learning workflows and model lifecycle concepts. Strong analytical mindset and structured troubleshooting skills.

About the job

Join our esteemed client, a well-established IT consulting firm with over two decades of expertise in executing large-scale technology projects across various sectors. Their enduring collaborations with major organizations demonstrate their technical prowess and financial reliability, bolstered by consistently high external credit ratings. Operating with a streamlined core team, the company boasts low turnover rates and fosters a collaborative culture built on trust, long-term partnerships, and a commitment to high-quality deliverables. With engagements spanning telecommunications, healthcare, and academia, this role offers engineers the chance to work on diverse and intricate projects while enjoying a flexible and supportive work environment.

We are seeking a Senior Data Engineer to help manage extensive data environments characterized by high-volume datasets, intricate integrations, and analytical applications. This hands-on engineering position emphasizes the creation and upkeep of data pipelines, in-depth understanding of end-to-end data flows, and resolution of data quality concerns across distributed systems.

You will collaborate closely with engineers, analysts, and stakeholders to ensure the delivery of reliable, scalable, and well-structured data solutions that enhance analytics and machine learning efforts.

Key Responsibilities:

  • Design, construct, and sustain scalable data ingestion and ETL/ELT pipelines.
  • Manage large datasets and interfaces that feed into enterprise-level databases.
  • Examine data flows and diagnose inconsistencies across systems.
  • Conduct root cause analyses to trace erroneous outputs back to original source systems.
  • Prepare datasets for analytics and machine learning applications.
  • Participate in data modeling and mapping activities.
  • Assist machine learning initiatives through data preparation, evaluation, and optimization.
  • Establish and implement data quality monitoring frameworks.
  • Create visualizations to facilitate data interpretation and insights.

About mpsolutions

Our client is a reputable IT consulting company with a rich history of over 20 years, delivering technology solutions across various industries. Their commitment to excellence and strong partnerships with leading organizations highlight their credibility and reliability in the market.

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