Data Engineer
A 7-month contract Data Engineer role (hybrid, 3 days onsite in London) placed by Mackin Talent at their client. Day to day you build and optimize ETL/ELT pipelines, write and tune SQL, maintain reporting datasets and data quality checks, and partner with stakeholders to deliver dashboards and analytics. Core tech: SQL, ETL/ELT, Python or C++.
- Compensation
- Not disclosed
- Location
- London, United Kingdom
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 4+ years of experience as a Data Engineer, BI Engineer, or Analyst in a product- or service-based company
- 2+ years of experience working with SQL, ETL, and reporting, including building or supporting production data pipelines
- Experience in at least one programming language (e.g., Python or C++)
- Experience working with structured datasets, data modeling concepts, and analytics/reporting workflows
- Strong communication skills, including the ability to document processes and explain technical concepts clearly
Full description
Our client is looking for a Data Engineer to join their team.
Duration - 7 months
Location - Hybrid (3 days onsite)
Summary :
Our client is seeking a Data Engineer to support data pipelines, reporting, and analytics needs across cross-functional stakeholders. In this role, you will help design, build, and maintain scalable datasets and data processes that enable reliable metrics, dashboards, and business insights.
Responsibilities
- Build, maintain, and optimize ETL/ELT data pipelines and data models to support reporting and analytics use cases
- Write, troubleshoot, and optimize SQL queries for data extraction, transformation, validation, and performance
- Develop and maintain reporting datasets and documentation to improve data reliability and usability
- Partner with internal stakeholders to understand requirements and translate them into well-defined data solutions
- Implement data quality checks and monitoring to ensure accuracy, completeness, and timeliness of data outputs
- Support ad hoc data analyses and investigate data issues as needed
Requirements
- 4+ years of experience as a Data Engineer, BI Engineer, or Analyst in a product- or service-based company
- 2+ years of experience working with SQL, ETL, and reporting (including building or supporting production data pipelines)
- Experience in at least one programming language (e.g., Python or C++)
- Experience working with structured datasets, data modeling concepts, and analytics/reporting workflows
- Strong communication skills, including the ability to document processes and explain technical concepts clearly
Benefits
- Competitive salary
- Healthcare contribution and inclusion in company pension scheme
- Work laptop and phone
- 25 days annual leave (pro-rata) plus paid bank holidays
- Expanding workforce with potential for career progression for top performers.