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Data Engineer

Inspiring Interns & Graduates
Posted 2 days ago, valid for 12 days
Location

Manchester, Greater Manchester M17 1DJ, England

Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • Our client is seeking two Data Engineers with expertise in data modeling, ETL processes, and cloud-based solutions, specifically in Snowflake, Azure, Python, and Power BI.
  • The role focuses on designing ETL pipelines, managing semantic data models, and ensuring data integrity in a remote work environment with occasional in-person meetings.
  • Candidates should have strong experience in Data Engineering and advanced SQL skills, along with a Bachelor's or Master's degree in a related field.
  • Experience in the retail domain and handling retail data models is desirable, making this role ideal for self-driven individuals.
  • The position offers competitive compensation, though specific salary details are not provided, and emphasizes career progression within a rapidly expanding technology start-up.

Company Description:Our client works with consumer goods companies to optimize their data sources, drive growth, and deliver actionable insights. Their technology platform, ClearView, is tailored for Consumer Goods professionals, offering flexibility and scalability. We collaborate closely with clients to achieve their desired results, covering Retail, Out of Home, E-Commerce, and Field Sales.This is a Remote role with a few in-person meetings in shared co-working spaces on an ad hoc basis.Role DescriptionWe are looking for 2 Data Engineers, specializing in data modelling, ETL processes, and cloud-based data solutions. This position requires expertise in Snowflake, Azure, Python and Power BI, with a strong focus on building semantic models and supporting analytics. Key Responsibilities:

  • Design and optimize ETL pipelines in Snowflake and Azure Data Factory to streamline data integration and transformation.
  • Build and manage semantic data models in Snowflake and Power BI to support scalable, user-friendly analytics and reporting.
  • Develop Snowflake stored procedures using Python to automate workflows and handle complex data transformations.
  • Ensure data integrity and accessibility within Snowflake to support effective data warehousing operations.
  • Collaborate with analytics and business teams to align data models with reporting needs and business goals.

Qualifications:

  • Strong experience in Data Engineering, with a focus on data modelling, ETL, and Snowflake.
  • Proficiency in Snowflake for data warehousing, including semantic modelling and Python-based stored procedures.
  • Experience with Azure Data Factory and related Azure services.
  • Hands-on experience with Power BI for creating and managing semantic models to enable business intelligence.
  • Advanced SQL skills, with expertise in query optimization and complex data transformations.
  • Excellent problem-solving and analytical skills, with the ability to work independently in a remote environment.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • Desirable: Experience working in retail domain and handing retail data models.
  • This role is ideal for a self-driven Data Engineer with strong expertise in Snowflake, Azure, Power BI, and Python, ready to support large-scale, retail-focused data initiatives.

What are the perks of working at this company?As a rapidly expanding technology start-up, working here is both exciting and demanding. Its also great fun. Being part of this dynamic team and a critical part of its success will be personally rewarding as well as offering great career progression in the future organization as it evolves.

Company Description:Our client works with consumer goods companies to optimize their data sources, drive growth, and deliver actionable insights. Their technology platform, ClearView, is tailored for Consumer Goods professionals, offering flexibility and scalability. We collaborate closely with clients to achieve their desired results, covering Retail, Out of Home, E-Commerce, and Field Sales.This is a Remote role with a few in-person meetings in shared co-working spaces on an ad hoc basis.Role DescriptionWe are looking for 2 Data Engineers, specializing in data modelling, ETL processes, and cloud-based data solutions. This position requires expertise in Snowflake, Azure, Python and Power BI, with a strong focus on building semantic models and supporting analytics. Key Responsibilities:

  • Design and optimize ETL pipelines in Snowflake and Azure Data Factory to streamline data integration and transformation.
  • Build and manage semantic data models in Snowflake and Power BI to support scalable, user-friendly analytics and reporting.
  • Develop Snowflake stored procedures using Python to automate workflows and handle complex data transformations.
  • Ensure data integrity and accessibility within Snowflake to support effective data warehousing operations.
  • Collaborate with analytics and business teams to align data models with reporting needs and business goals.

Qualifications:

  • Strong experience in Data Engineering, with a focus on data modelling, ETL, and Snowflake.
  • Proficiency in Snowflake for data warehousing, including semantic modelling and Python-based stored procedures.
  • Experience with Azure Data Factory and related Azure services.
  • Hands-on experience with Power BI for creating and managing semantic models to enable business intelligence.
  • Advanced SQL skills, with expertise in query optimization and complex data transformations.
  • Excellent problem-solving and analytical skills, with the ability to work independently in a remote environment.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • Desirable: Experience working in retail domain and handing retail data models.
  • This role is ideal for a self-driven Data Engineer with strong expertise in Snowflake, Azure, Power BI, and Python, ready to support large-scale, retail-focused data initiatives.

What are the perks of working at this company?As a rapidly expanding technology start-up, working here is both exciting and demanding. Its also great fun. Being part of this dynamic team and a critical part of its success will be personally rewarding as well as offering great career progression in the future organization as it evolves.

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.