- Company Name
- Oliver Bernard
- Job Title
- Senior Data Analytics Engineer
- Job Description
-
**Job Title**
Senior Data Analytics Engineer
**Role Summary**
Contract-based role (5‑month initial engagement, potential extension) for a senior data analytics engineer with strong Databricks expertise. Candidate should transition from a software engineering background into data engineering/analytics, delivering robust data pipelines and insights using Python, SQL, and Databricks.
**Expectations**
- Work 3 days per week (London-based) under IR35 regulations.
- Deliver high‑quality, production‑ready data solutions within time‑bound project milestones.
- Collaborate with data science and analytics teams to support data‑driven decision making.
- Maintain code quality, documentation, and adherence to best practices.
**Key Responsibilities**
1. Design, develop, and optimize ETL pipelines on Databricks using Spark, Python, and SQL.
2. Transform raw data from multiple sources into structured, query‑ready datasets for analytics and reporting.
3. Ensure data quality, integrity, and performance of data workflows.
4. Collaborate with stakeholders to understand data requirements and translate them into technical specifications.
5. Provide troubleshooting, debugging, and performance tuning for existing data pipelines.
6. Document data models, pipeline logic, and operational procedures.
7. Participate in code reviews, maintain coding standards, and mentor junior team members.
**Required Skills**
- Python programming (data manipulation libraries: pandas, NumPy, PySpark).
- Advanced SQL (data definition, transformation, and optimization).
- Databricks platform (Databricks Delta, notebooks, job scheduling).
- ETL architecture and best practices (extract, transform, load).
- Experience with Spark/Databricks workflows and performance tuning.
- Strong debugging, problem‑solving, and documentation skills.
- Familiarity with cloud data services (Azure, AWS, or GCP).
**Required Education & Certifications**
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.
- Professional certifications preferred: Databricks Certified Data Engineer, AWS Certified Data Analytics, or equivalent.
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