Job Description

SR2 are actively seeking a Mid-level Data Engineer for a fast-growing financial services company. Location: London (remote first working). Salary: £45,000 - 50,000 (plus 10% bonus). Tech / Tools: Python, SQL, ELT, Airflow, Power BI, BigQuery, Snowflake, DataBricks, Azure and/or AWS. Key responsibilities: // As one of the Data Engineers, you will be responsible for the development, testing, and maintenance of their data platform, ensuring the availability, reliability, and integrity of all data. // You will work with your team to help deliver key projects on time and to a high standard. // Create robust, performant data pipelines. // Be instrumental in driving forward a new data strategy, working alongside stakeholders to identify opportunities for improvement and innovation. // Demonstrate strong programming / scripting skills in Python. // Implement CI/CD practices for data pipelines to improve efficiency and quality of data processing. // Build robust ETL processes to extract, transform, and load data from diverse sources. // Continuously monitor system performance and implement strategies to enhance efficiency. // Be responsible for designing and maintaining robust data architectures, optimising data processing workflows, and ensuring the integrity and accessibility of data for analysis. Ideal candidate: // 4 years in a Data Engineering position. // Highly proficient in Python and SQL. // Experience of data warehousing solutions (e.g. Snowflake, Databricks, Redshift, BigQuery) is highly desired. // Knowledge of reporting and BI Tools (e.g. Power BI, Tableau, Cognos). // Financial Services experience a bonus, but is not essential. // Strong problem-solving skills with an emphasis on scalable, high-quality solutions. // Ability to work in a fast-paced environment and manage multiple tasks simultaneously. If interested, please apply with your updated CV and we’ll line up a call to discuss the details. Look forward to hearing from you all