At a Glance
- Tasks: Design and develop scalable ETL solutions using IBM DataStage and AWS services.
- Company: Join a high-profile programme in a large-scale enterprise environment.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Other info: Collaborative team environment with a focus on innovation and best practices.
- Why this job: Make an impact by delivering complex data integration and migration solutions.
- Qualifications: Experience in data engineering, ETL development, and cloud platforms required.
The predicted salary is between 72000 - 88000 £ per year.
An exciting opportunity is available for an experienced Data Stage Data Engineer to join a high-profile programme delivering complex data integration and migration solutions within a large-scale enterprise environment.
The successful candidate will play a key role in designing, developing, and supporting robust data pipelines, ETL processes, and data warehouse solutions using a range of AWS and enterprise data technologies.
This role requires a strong technical background in data engineering, ETL development, cloud-based data platforms, and Dev Sec Ops practices.
You will work closely with architects, developers, business stakeholders, and delivery teams to ensure the successful movement, transformation, and management of critical business data.
Key Responsibilities
- Design, develop, and maintain scalable
ETL and data migration solutions using IBM Data Stage.
- Build and optimise batch and real-time data integration pipelines to support business and operational requirements.
- Develop and enhance data warehouse solutions
, ensuring high performance, resilience, and scalability.
- Design and implement data solutions using
- AWS services
, including Amazon Redshift, Amazon S3, and Amazon Quick Sight.
- Collaborate with cross-functional teams to analyse data requirements and translate them into technical solutions.
- Support the adoption of
- Dev Sec Ops principles
, ensuring secure and automated deployment practices.
- Develop and maintain high-quality code using
- Java and
- SQL
- Design, query, and optimise relational database structures and data models.
- Implement source control, version management, and CI/CD processes using
- Git Hub and/or
- Git Lab
- Troubleshoot and resolve data-related issues, ensuring data integrity and platform stability.
- Contribute to technical design reviews, code reviews, and best practice initiatives across the engineering team.
- Strong commercial experience with
- Data Stage
- Proven expertise in data migration and ETL development
, including both batch and real-time processing.
- Experience designing and supporting enterprise data warehouse solutions
• Hands-on experience with
- Amazon Redshift
- Amazon S3
- Amazon Quick Sight
- Strong understanding of
Dev Sec Ops methodologies and modern software delivery practices.
- Advanced
SQL skills.
- Experience working with relational databases
- Hands-on experience with
- Git Hub and/or Git Lab
- Strong analytical, problem-solving, and stakeholder engagement skills.
- Ability to work effectively within Agile delivery environments.
- Experience implementing and monitoring data quality frameworks
- Knowledge of
XML technologies and data formats.
- AWS Certified Data Analytics or
- AWS Data Specialty Certification
- Experience working within large-scale cloud migration or transformation programmes.
- Candidate Profile
The ideal candidate will be a proactive and technically strong Data Engineer with a proven track record of delivering enterprise-scale data solutions.
They will possess excellent communication skills, a collaborative approach to problem solving, and the ability to operate effectively within fast-paced, complex environments.
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Data Stage Data Engineer in London employer: LA International
At LA International, we pride ourselves on being an award-winning employer that champions diversity and inclusion, ensuring every employee feels valued and supported. Located in the vibrant city of Edinburgh, our collaborative work culture fosters innovation and professional growth, offering unique opportunities to work with leading organisations while contributing to high-stakes projects. With a commitment to employee development and a focus on creating an equitable workplace, we are the ideal choice for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Stage Data Engineer in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Stage Data Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at LA International, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at LA International. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at LA International
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at LA International!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
