Junior Data Engineer Analytics Engineer
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Job Location:
Monthly Salary:
Posted on:
16 hours ago
Vacancies:
1 Vacancy
Job Summary
The purpose of the analytics engineer is to design build and optimize data models and analytics workflows that enable accurate timely and actionable insights across the business. This role bridges the gap between data engineering and analytics ensuring that data is transformed into well-structured reliable datasets for reporting visualization and advanced analytics. The role holder will focus on creating scalable maintainable solutions that empower stakeholders to make data-driven decisions efficiently.
The key responsibilities will include:
- Design and implement data models optimized for analytics and reporting use cases.
- Develop and maintain ELT/ETL pipelines to transform raw data into curated datasets.
- Collaborate with analysts and data scientists to understand requirements and deliver high-quality data products.
- Optimize SQL queries and workflows for performance and scalability.
- Ensure data quality consistency and governance across all analytics layers.
- Implement best practices for documentation testing and reproducibility in analytics workflows.
- Work with cloud-based tools and services (e.g. AWS S3 Athena ECS CloudFormation Lambdas CloudWatch) to support analytics infrastructure.
- Contribute to the development of dashboards and self-service analytics tools.
Qualifications :
Essential:
- Competent in SQL and Python for data transformation and analytics.
- Understanding of data modelling concepts (e.g. star schema dimensional modelling).
- Experience (1 year) working with relational databases and designing optimized schemas.
- Ability to debug and optimize slow queries and inefficient workflows.
- Familiarity with cloud-based data platforms and services (AWS preferred).
- Excellent communication skills for collaborating with technical and non-technical stakeholders.
- Strong problem-solving and analytical mindset.
Desirable:
- Experience with BI tools (e.g. Power BI Plotly/Dash) for visualization.
- Experience in frontend development React/Javascript
- Experience in structuring APIs Django Flask FastAPI
- Familiarity with distributed systems (e.g. Spark Kafka) for large-scale analytics.
- Knowledge of testing practices (e.g. TDD) in data workflows.
- Passion for clean well-documented systems and reproducibility.
- Side projects demonstrating end-to-end analytics solution design.
Additional Information :
At Entain we know that signing top players requires a great starting package and plenty of support to inspire peak performance. Join us and a competitive salary is just the beginning.
Depending on your role and location you can expect to receive benefits like:
- Generous group bonus scheme
- Hybrid working
- Private medical insurance
- Pension Scheme - matched to 6%
- Ability to buy and sell holiday
- Free subscription to wellbeing app Unmind
- Entain & Enhance days
- Sharesave Scheme
Join a winning team of talented people and be a part of an inclusive and supporting community where everyone is celebrated for being themselves.
Should you need any adjustments or accommodations to the recruitment process at either application or interview please contact us.
Remote Work :
No
Employment Type :
Full-time
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
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