Transform
Transform
Transform एक प्रौद्योगिकी और डेटा परामर्शदाता कंपनी है, जो सार्वजनिक और निजी संगठनों को प्रतिस्पर्धात्मक बढ़त हासिल करने में मदद करती है और साथ ही सकारात्मक सामाजिक प्रभाव पैदा करती है। इसका बहुविषयक कार्य रणनीति, अनुसंधान, सेवा डिज़ाइन, प्रौद्योगिकी, डेटा और परिवर्तन के क्रियान्वयन को एक साथ लाकर उपयोगकर्ताओं की आवश्यकताओं को समझता है, सेवाओं में सुधार करता है, बेहतर अनुभव तैयार करता है और डिजिटल परिवर्तन को सहयोग देता है। कंपनी स्वास्थ्य सेवा, लॉजिस्टिक्स और मार्केटिंग सहित विभिन्न क्षेत्रों में काम करती है। इसकी समावेशी और उच्च-प्रदर्शन वाली संस्कृति व्यावहारिक परिणामों और सार्थक बदलाव पर केंद्रित है।

Data Engineer - Hybrid, United Kingdom

Build pipelines, data models, and analytics solutions for Transform’s public-sector and enterprise clients. Improve data quality and delivery as part of agile engineering teams.

विवरण

  • Develop and support data pipelines, transformations, and related engineering processes
  • Apply business rules and create data models that satisfy agreed requirements
  • Take part in code reviews, testing, deployments, and ongoing operational support
  • Investigate and fix data quality problems and pipeline failures
  • Work productively with cross-functional colleagues in agile delivery teams
  • Record technical solutions and help maintain shared engineering standards
  • Turn business and technical requirements into reliable, maintainable solutions
  • Help improve the team’s delivery practices and standards over time

आवश्यकताएँ

  • Demonstrated proficiency in SQL and Python
  • Experience operating production data pipelines with contemporary data engineering tools
  • Solid knowledge of data modelling, warehousing, and data quality practices
  • Practical experience with at least one cloud platform, including Azure or AWS
  • Working knowledge of CI/CD, source control, and software testing
  • Strong analytical, troubleshooting, and communication abilities
  • Experience with Databricks, Data Factory, Fabric, Airflow, DBT, or a comparable tool is advantageous
  • Experience handling both structured and semi-structured data is advantageous
  • Awareness of data security, governance, and compliance considerations is advantageous
  • Interest in emerging technologies, especially developments across AI and data
  • Commitment to ongoing learning and a growth-oriented approach

लाभ

  • 28 days of holiday, with the option to buy or sell up to 5 days; 3 days are reserved for the Christmas period
  • A day off on or during the week of your birthday
  • Pension contributions matched by the employer up to 5%
  • Private healthcare coverage
  • Life assurance
  • Enhanced maternity, paternity, and shared parental leave
  • Cycle-to-work schemes
  • Gym and retail discounts
  • Regular social events and activities
  • Additional options through the flexible benefits package
  • Work with meaningful impact in an environment that supports professional growth
  • A supportive, inclusive, and trusted workplace
  • Adjustments can be provided during the recruitment process

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