Data Engineer
Posted 4 days ago by Haystack
£450 Per day
Outside
Hybrid
Manchester, England, United Kingdom
Summary: This role for a Data Engineer involves leveraging Python and SQL to create high-impact data products for global brands. The position requires ownership of the end-to-end data lifecycle, including building sophisticated data pipelines and ensuring data quality. The role is based in Manchester and offers a flexible hybrid working model. The successful candidate will collaborate with various teams to enhance platform intelligence and maintain technical documentation.
Key Responsibilities:
- Design and evolve complex data product schemas for high-performance datasets.
- 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 and workflow orchestration.
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!