Address
Form of work- Posted:about 23 hours ago
- Sector: Data Engineering
- Location: City of London
- Job Ref: WFL DE6m_1705322428
- Job Type: Contract
- Salary: £45 - £52 per hour + Fully remote + O/IR35 per hour
- Expiry Date: 24 February 2024
- Contact: Sergio Osman
- Contact Email: sergio.osman@xcede.com
- Duration: 6 Months +
- Start Date: 1/3/24
Job Description
Data Engineer
6M remote contract and should fall O/IR35.
We are seeking an experienced Data Engineer excited about navigating a complex data ecosystem within a large organization. Adaptability to both old and new technologies is crucial. The ideal candidate believes in automation, values well-documented processes, and is comfortable validating hypotheses manually. Collaboration with stakeholders, data architects, and product teams is essential.
6M remote contract and should fall O/IR35.
We are seeking an experienced Data Engineer excited about navigating a complex data ecosystem within a large organization. Adaptability to both old and new technologies is crucial. The ideal candidate believes in automation, values well-documented processes, and is comfortable validating hypotheses manually. Collaboration with stakeholders, data architects, and product teams is essential.
Key Requirements:
1. Proficiency in modern development practices and infrastructure deployment (DevOps), including Git, Terraform, Docker, and CI/CD (Github Actions).
2. Extensive experience with cloud platforms, preferably GCP, covering data storage, processing, and analysis.
3. In-depth expertise in data integration and ETL processes, with the ability to design and implement complex data pipelines (dbt).
1. Proficiency in modern development practices and infrastructure deployment (DevOps), including Git, Terraform, Docker, and CI/CD (Github Actions).
2. Extensive experience with cloud platforms, preferably GCP, covering data storage, processing, and analysis.
3. In-depth expertise in data integration and ETL processes, with the ability to design and implement complex data pipelines (dbt).
Additional Qualifications:
- Proficient in Python and SQL.
- Strong understanding of database systems, including relational, graph, and vector databases, with expertise in query performance tuning and optimization.
- Deep knowledge of data warehouses, particularly BigQuery, including designing and implementing efficient data models.
- Familiarity with data security and privacy principles, ensuring compliance with data governance and regulatory requirements.
- Excellent problem-solving and troubleshooting skills for resolving complex data-related issues.
- Effective communication and collaboration skills, working closely with cross-functional teams to address data requirements and challenges.
- Knowledge of machine learning concepts and algorithms, enabling the integration of predictive, semantic, and analytical models into Data Engineering workflows.
Please note we are only able to respond to those that have the right to work within the UK, Nordics OR EU and match the requirements above.
