At a Glance
- Tasks: Design and develop scalable ETL and data migration solutions using IBM DataStage.
- Company: Join an award-winning organisation with a commitment to inclusivity and innovation.
- Benefits: Competitive day rate, hybrid work model, and opportunities for professional growth.
- Other info: Collaborative team culture with a focus on problem-solving and technical excellence.
- Why this job: Make a real impact on enterprise-scale data solutions in a dynamic environment.
- Qualifications: Strong experience with IBM DataStage, ETL development, and cloud technologies.
The predicted salary is between 72000 - 88000 £ per year.
Overview
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.
Job title: Data Stage Data Engineer
Location: London (Hybrid)
Day Rate: £514.00 per day
Contract Length: 12 Months
IR35 Status: Inside IR35
Public Sector
Overview
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.
Essential Skills & Experience
- Strong commercial experience with IBM 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.
- Proficiency in Java development.
- 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.
Desirable Skills
- 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.
An award-winning organisation, having secured the prestigious Queens Award for Enterprise: International Trade over multiple years.
We are committed to fostering an inclusive, equitable and accessible workplace where everyone feels valued and supported.
We welcome applications from all individuals, regardless of background or identity, and we encourage candidates who may not meet every listed requirement to still apply.
If you require any adjustments or support during the recruitment process, please let us know and we will work with you to ensure a fair and accessible experience.
Please Note: If a high volume of applications is received, only candidates shortlisted will be contacted.
DataState Data Engineer in City of Westminster employer: Free-Work UK
Free-Work UK is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration in the fast-paced field of cloud technology. Employees benefit from comprehensive professional development opportunities, competitive remuneration, and the chance to work in a highly secure environment that values integrity and excellence. With a focus on employee well-being and a commitment to fostering a supportive team atmosphere, Free-Work UK stands out as a rewarding place for those looking to make a meaningful impact in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land DataState Data Engineer in City of Westminster
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Free-Work UK before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
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We think you need these skills to ace DataState Data Engineer in City of Westminster
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Free-Work UK, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Free-Work UK, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Free-Work UK’s attention and show the tangible impact of your work.
How to prepare for a job interview at Free-Work UK
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Free-Work UK.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Free-Work UK.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Free-Work UK.
