Senior Data Engineer - Central London (Hybrid) - £85,000

Ada Meher
Charing Cross, United Kingdom
18 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
£ 85K

Job location

Remote
Charing Cross, United Kingdom

Tech stack

Azure
Software as a Service
Information Engineering
Google Analytics
Python
Standard Sql
SQL Databases
Tableau
Azure
Snowflake
Hubspot
Data Pipelines
Serverless Computing

Job description

Python/SQL/dbt/Azure Functions/Tableau | Hybrid Remote Work | Growth and Ownership opportunity | Bonus Scheme

Ada Meher is proud to be engaged on a search for Senior Data Engineer on behalf of a rapidly-scaling Digital Transformation Consultancy and SaaS business in the Property Management sector as they continue to grow the team owing to continued client successes and growth with their in-house SaaS product. They are a young business with an established Data Engineering function but are looking for a Senior Data Engineer to help drive them to the next level.

The client delivers robust, reliable technology-driven transformations for market leading clients but do so with a well-worked process to ensure they don't create internal burn-out or compromise quality for speed. They are looking for a candidate to join their Data Engineering team working on enterprise level Data Pipelines with modern technologies such as Python, SQL (dbt), Azure Functions /ADF and some Tableau/Snowflake to streamline operations and improve data quality.

As part of their commitment to work/life balance, the company work on a hybrid basis with employees spending 3 days a week in office and the rest working remotely. They also offer a flexible schedule - as long as clients' needs are met and work is getting done you'll have the autonomy to manage your workload the way that works best for you!

Requirements

  • Experience working as a Senior Data Engineer

  • Expert level experience in Data Engineering using Python and SQL

  • Experience working with SQL Data Build Tool (dbt)

  • Experience working with Azure Functions, Azure Data Factory (ADF) and other associated Azure Tooling (ie Azure DevOps)

  • Any experience with Tableau or Snowflake would be a benefit

  • Experience with GA4, HubSpot or similar platforms would also stand out

Benefits & conditions

The company in question is highly regarded not only in the solutions they provide their clients but the working environment they create with many fantastic perks such as 25 days leave, annual away days and performance related bonuses, flexible working days and remote working days. They offer a competitive salary and have great workplace pension and private healthcare scheme.

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