5 дней назад
Data Engineer (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer (AI) (Python, SQL, Snowflake, Azure Databricks): Developing data pipelines that support decision-making insights and sophisticated data science applications with an accent on data quality, flow, cloud technologies, and DataOps. Focus on building reliable information pipelines, applying AI to data, and integrating Snowflake, Azure Databricks, and cloud services in a hybrid client-delivery environment.
Location: Leeds, England, United Kingdom; hybrid workplace. Contract duration: 3 months.
Company
helps organisations navigate technology change by combining human expertise, emerging technology, and AI to deliver outcomes and build lasting capability.
What you will do
- Develop data pipelines that deliver actionable insights for decision-making and support advanced data science applications.
- Work hands-on with data quality, information flow, and data organisation.
- Apply Python and SQL to build and maintain data solutions.
- Use Snowflake and Azure Databricks in data engineering workflows.
- Apply cloud technologies across AWS, Azure, or GCP and use relevant associated services.
- Apply DataOps concepts to improve the reliability and organisation of data delivery.
Requirements
- Professional experience coding with Python and SQL.
- Solid experience with Snowflake and Azure Databricks.
- Experience with at least one cloud platform: AWS, Azure, or GCP.
- Experience with associated cloud data technologies, such as DynamoDB, Redshift, Kinesis Pipelines, Glue, Lambda, or QuickSight.
- Good understanding of using AI with data and experience with DataOps concepts.
- Ability to solve complex problems collaboratively, communicate clearly, and deliver high-quality work in ambiguous environments.
Culture & Benefits
- Work in multidisciplinary teams with clients and colleagues.
- Collaborative, low-ego, pragmatic, and outcome-focused working style.
- Commitment to diversity, inclusion, and equal opportunities.
- Support is available for adjustments during the application and interview process.
Hiring process
- AI may be used for application or interview preparation only if submitted information remains accurate and truthful.
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