Data Engineer | Azure | Python | PySpark | SparkSQL | Databricks | Azure Data Factory | London Hybrid Working | £55,000 - £60,000 + 20% Bonus
Please note: This role requires the successful candidate to be eligible for Security Clearance, please only apply if this is applicable for you.
Method Resourcing are proud to be working exclusively with a growing financial services organisation who specialise in both asset and wealth management whose goal is to provide the customer with honest and reliable advice on their finances. This is an opportunity to join an established business who operate at the highest standard and work with some of the most exciting brands in finance.
The role: You will operate as part of an agile technical team participating in all agile team ceremonies such as daily stand up meetings and backlog refinement sessions. This close knit, diverse team pride themselves on their technical professionalism and are focusing to build a new lake-house to ingest masses of data from their already existing data lake.
You'll need experience with:
- Azure technologies e.g. Databricks, ADF, Azure Data or Delta Lake (essential)
- SparkSQL and PySpark
- Data warehousing, ETL/ELT and data integration experience
- Experience of Azure DevOps code management practices (repos, gitflow, pull requests, release pipelines)
- Experience implementing Delta Lakes - desirable
- Python experience would be desirable
This is truly a fantastic opportunity for any ambitious engineer who's looking to join a high performing team within an exciting financial services institution. Alongside a competitive salary of up to £60,000, they can offer the following benefits:
- 20% Bonus
- 25 days holiday plus bank holidays
- Pension scheme
- Private medical cover & dental insurance
- Regular training and career development plans through coaching/mentoring and access to a learning portal
- Annual season ticket loans
- Employee discounts across a wide range of products
- Volunteering day paid for
- Wellbeing benefits including gym membership, employee assistance programme, eye care etc
Working arrangements: This role requires a few days per week travel to London. Their office is located in central London so please ensure that you understand the working pattern before you apply.
Please apply, and if you're interested in finding out more, please get in contact with Tom Morris by email as I am expecting a lot of attention for this role so it may take a while to go through applications alongside my other roles.
Data Engineer | Azure | Python | PySpark | SparkSQL | Databricks | Azure Data Factory | London Hybrid Working | £55,000 - £60,000 + 20% Bonus