Senior Data Engineer - 6 Month FTC
Edinburgh
CreateFuture
Who we are
CreateFuture is fast becoming the UK’s most recognisable digital consultancy, with years of experience building digital products and services for major organisations whilst putting our people first. We have offices in the centre of Edinburgh, Leeds, Manchester, and London as well as remote employees located throughout the country.
We are a team of creators - whether that’s code, project plans, go to market strategies, culture initiatives, marketing campaigns, large language models or people policies. And together, with our clients, we create the future. This has seen us collaborate and partner across a multitude of industries and sectors, with the likes of PayPal, adidas, Natwest, FanDuel and Money Saving Expert, to name just a few.
Our reputation as a partner determined to deliver high-quality, robust and thoughtful products has enabled us to scale to over 500 people in the last couple of years, and it is our amazing people - along with the safe, supportive and friendly culture we have built - that makes CreateFuture a great place to work. Don’t just take our word for it though, we have been recognised by Best Workplaces UK multiple years in a row - across a number of categories - and our employee exit rate is astonishingly low.
Join us on our journey… Let’s create something awesome, together, today.
About the role and team:
We’re looking for a Data Engineer to join our growing Data Practice. You’ll work as part of a multidisciplinary team delivering data solutions for some of the UK’s best-known brands. You’ll have a hand in everything from data ingestion and transformation to pipeline automation and data platform optimisation – always with a strong focus on quality, scalability, and value.
What you'll be doing:
- Designing, building and maintaining robust, cloud-native data pipelines
- Automating and orchestrating workflows using tools like AWS Glue, Azure Data Factory, or Google Cloud Dataflow
- Working with platform services such as Amazon S3, Azure Synapse, Google BigQuery, and Snowflake
- Implementing Lakehouse architectures using tools like Databricks or Snowflake
- Collaborating closely with engineers, analysts, and client teams to deliver value-focused data solutions
We'd love to talk to you if:
- You’ve got solid experience working with Python, .NET, C# ,SQL, Spar and data pipeline tools such as dbt or Airflow
- You’re comfortable working across cloud platforms – especially AWS (Glue, Lambda, Athena), Azure (Data Factory, Synapse), or GCP (Dataflow, BigQuery, Cloud Composer)
- You have a good understanding of data modelling, data warehousing and performance optimisation
- You care deeply about data quality, testing, and documentation
- You enjoy solving real-world problems and collaborating with cross-functional teams
- You’re comfortable in a consultancy setting, balancing hands-on delivery with client engagement
Next steps:
Our Talent team aims to respond to all applications within a reasonable timeframe, regardless of whether or not we progress your application.
Our interview process:
- 30-minute call with one of our Talent Acquisition Team.
- 1-hour Technical interview
Our interview process is designed as an opportunity both for our interviewers to learn about your expertise, interests and motivations and for you to gain insights into the role, team and business as a whole, so throughout the process, you’ll meet a few people from our team as well as others from across the business to help you get a well-rounded view of the role and life at CreateFuture.
We believe that representative teams made up of people with different backgrounds, skills, and points of view help us build the best workplace possible, and enable us to create genuinely innovative, broadly useful products.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture Athena AWS AWS Glue Azure BigQuery Databricks Dataflow Data pipelines Data quality Data Warehousing dbt GCP Google Cloud Lambda LLMs Pipelines Python Snowflake SQL Testing
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