Data Engineer
2 months ago
Data Engineer
£40-55K
I am currently looking for an entry level Data Engineer to hit the ground running with a leader in the UK's digital and software services landscape, where your work in cutting-edge technology will empower customers to manage, share, and exploit data more effectively.
We’re seeking a Senior Data Engineer to lead the delivery of transformative solutions for our clients. You will lead the delivery of tailored solutions to our clients where you will be responsible for the design, delivery and implementation solutions, spanning from end user interfaces and innovative user experience to data driven solutions.
In addition to the relevant technical experience in the different domains identified, you will have a depth of experience in different software engineering languages and commercial off the shelf tools across cloud and on-prem settings where you will be expected to build impactful Technical Solutions, Concept Demonstrators and Minimum Value Propositions.
Job Responsibilities
- Build, optimise, and maintain scalable data pipelines that handle high-volume, high-velocity data in complex SaaS environments.
- Design efficient, scalable, and flexible data models in multiple technologies to meet business requirements.
- Analyse and consolidate business requirements and use cases to meet technical and non-technical debt.
- Design tailored and bespoke solutions to address and mitigate challenges faced by our clients.
- Make key decisions on build vs buy for data and digital engineering solutions and platforms.
- Work closely with the entire business far beyond just product or technology, including driving innovation through concept demonstrators and offerings and support the sales activities, from a pre-sales perspective.
- Ensure solution, hosting and service architectures are subject to robust cost and effort estimation, covering design, development, transition, operation, maintenance and exit costs.
Skills Required
Data Engineering
- Fluency in one or more of the following languages: SQL, Scala, Python, R, PySpark, Elasticsearch.
- Data Pipeline Development: Hands-on experience in building data pipelines in AWS, Azure and/or open-source frameworks like Spark, Beam, or Airflow.
- Experience with real time data streaming frameworks, (e.g. Kafka, Pubsub etc.).
- Data quality/validation experience: designing metrics and KPIs to verify and automated management of data quality – experience in Purview would be very welcome.
- Build and optimise data models, ensuring data is structured, accessible, and performant for downstream analytics and machine learning models
- Good working experience of AWS (e.g. S3, Kinesis, Glue, Redshift, Lambda and EMR) or Azure data services (e.g. ADF, Synapse, Fabric, Azure Functions)
- Knowledge and experience of Palantir Foundry or Gotham is a major plus.
- Working experience in Data Lakehouse environments such as Databricks, Snowflake and/or Microsoft Fabric is an advantage.
If any of this piques your interest, please let me know and we can get a call booked in to discuss further
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