At a Glance
- Tasks: Develop innovative data-driven solutions and automate data engineering pipelines.
- Company: Join a leading UK client with flexible work options in major cities.
- Benefits: Competitive salary, remote work flexibility, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on modern data practices and career advancement.
- Why this job: Make an impact by simplifying data processes and driving customer value.
- Qualifications: 8+ years of experience in data engineering and strong skills in SQL and Python.
The predicted salary is between 60750 - 74250 £ per year.
We are collaborating in sourcing several Data Engineers for a large UK client. You will work from your choice of the Edinburgh, London, or Manchester offices, with 6 days per month, and the rest remotely.
What you’ll do:
- As a Data Engineer, you’ll be looking to simplify our organisation by developing innovative data-driven solutions through data pipelines, modelling and ETL design, aiming to be commercially successful while keeping our customers and the bank’s data safe and secure.
- You’ll drive customer value by understanding complex business problems and requirements to correctly apply the most appropriate and reusable tool to gather and build data solutions.
- You’ll support our strategic direction by engaging with the data engineering community to deliver opportunities, along with carrying out complex data engineering tasks to build a scalable data architecture.
- Your responsibilities will also include:
- Building advanced automation of data engineering pipelines through removal of manual stages.
- Embedding new data techniques into our business through role modelling, training, and experiment design oversight.
- Delivering a clear understanding of data platform costs to meet your department's cost-saving and income targets.
- Sourcing new data using the most appropriate tooling for the situation.
- Developing solutions for streaming data ingestion and transformations in line with our streaming strategy.
The skills you’ll need:
- You should have at least 8 years of commercial experience working as a Data Engineer.
- Strong understanding of data usage and dependencies and experience of extracting value and features from large-scale data.
- Experience designing ETL and ELT solutions, delivering high-quality, well-modelled data through rigorous testing, cleansing, monitoring, and modern data warehousing on platforms such as Snowflake.
- Hands-on experience with AWS cloud data platforms and managed services, including Airflow, managed ETL, using AWS Glue and metadata services, along with strong security and governance practices.
- Experience of using programming languages like SQL and Python, alongside knowledge of data and software engineering fundamentals.
- Good knowledge of modern code development practices.
- Strong communication skills with the ability to proactively engage with a wide range of stakeholders.
- S3 object storage and QuikSight.
- Experience working within Financial Services.
Senior Data Engineer employer: McNally Recruitment Ltd
As an Infrastructure Engineer with our Financial Services company, you will thrive in a dynamic work culture that prioritises innovation and collaboration. With offices in both Edinburgh and London, we offer flexible working arrangements and a commitment to employee growth through continuous learning opportunities. Join us to be part of a forward-thinking team that values your expertise in building resilient cloud solutions while enjoying the unique advantages of working in the vibrant financial sector.
