Data Engineer
Posted 1 day ago by Haystack
£450 Per day
Outside
Hybrid
Manchester, England, United Kingdom
Summary: The Data Engineer role involves leveraging Python and SQL to create high-impact data products for global brands, focusing on the end-to-end data lifecycle. The position requires designing complex data schemas, building robust data pipelines, and ensuring data quality through rigorous analysis. Collaboration with various teams is essential to enhance platform intelligence and maintain technical documentation. This role offers a lucrative daily rate and a flexible hybrid working model based in Manchester.
Key Responsibilities:
- Design and evolve complex data product schemas.
- Build, deploy, and maintain robust data feeds using Python and SQL.
- Monitor and optimize data quality through diagnostic checks and analysis.
- Collaborate with Product, Engineering, and Machine Learning teams.
- Maintain clear technical documentation for data architectures.
Key Skills:
- Expertise in Python for scalable data pipelines.
- Advanced SQL skills for manipulating large-scale datasets.
- Experience with AWS tools like S3, Athena, or Spark.
- Attention to detail in data validation and quality assurance.
- Familiarity with AI-assisted development tools.
Salary (Rate): £450 daily
City: Manchester
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: outside IR35
Seniority Level: Mid-Level
Industry: IT
Data Engineer | £400 - £450
We're working with a premier global media insights & market research innovator on this exciting opportunity. This is a chance to leverage Python and SQL at scale, turning complex behavioural signals into high-impact data products for some of the world's most recognisable brands. As a key member of the Data Products team, you will take full ownership of the end-to-end data lifecycle. You’ll be building the sophisticated pipelines that empower global brands to make strategic, data-driven decisions using high-quality structured datasets.
The Role
- Design and evolve complex data product schemas, ensuring raw signals are translated into high-performance, well-structured datasets.
- Build, deploy, and maintain robust data feeds using Python and SQL for advanced transformation, validation, and delivery.
- Monitor and optimize data quality through rigorous diagnostic checks and deep-dive analysis of massive, high-velocity datasets.
- Collaborate directly with Product, Engineering, and Machine Learning teams to integrate new features and enhance platform intelligence.
- Maintain clear, technical documentation for data architectures to support a culture of knowledge sharing and scalability.
What You'll Need
- Expertise in Python with a proven track record of writing production-grade, scalable data pipelines.
- Advanced SQL skills with significant experience manipulating and querying large-scale datasets for business logic application.
- Experience working within a cloud ecosystem, specifically utilizing AWS tools like S3, Athena, or Spark for data orchestration.
- A high degree of attention to detail regarding data validation, quality assurance, and schema enforcement.
- Familiarity with AI-assisted development tools and modern workflow orchestration to maximize engineering productivity.
What's On Offer
- Lucrative daily rate of £400 - £450 (Outside IR35) for an initial 6-month term.
- Flexible hybrid working model with just 2 days per week in a vibrant Manchester-based hub.
- The opportunity to work on complex, real-world behavioural data sets that impact global market trends.
- A collaborative, growth-oriented environment that actively encourages the use of cutting-edge AI and data technologies.
Apply via Haystack today!