At a Glance
- Tasks: Design and develop ETL solutions using IBM DataStage in a dynamic banking environment.
- Company: Global recruitment specialist with a focus on innovative data solutions.
- Benefits: Competitive pay rate, flexible work setup, and opportunities for professional growth.
- Other info: Exciting career progression and mentorship opportunities available.
- Why this job: Join a cutting-edge team and make an impact in the financial services sector.
- Qualifications: Strong experience with IBM DataStage and solid understanding of ETL concepts.
The predicted salary is between 60000 - 70000 £ per year.
We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you.
Location: Manchester
Duration: 31/12/2026
Work setup: 2 days onsite/week
Pay-Rate: £304 per day all inc. (PAYE through Umbrella)
As a DataStage Developer, you will be responsible for designing, developing, enhancing, and supporting ETL solutions using IBM DataStage. You will work closely with business analysts, data architects, and downstream consumers to deliver reliable, scalable, and high-quality data integration solutions in a regulated banking environment.
Key Responsibilities:- Design, develop, and maintain ETL jobs and sequences using IBM DataStage.
- Develop end-to-end data pipelines from source systems to data warehouse / downstream platforms.
- Create and maintain ETL design documents, mapping specifications, and technical documentation.
- Perform data profiling, validation, and reconciliation to ensure data quality.
- Optimize DataStage jobs for performance, scalability, and reliability.
- Troubleshoot and resolve ETL failures, data issues, and production incidents.
- Work closely with DBAs, Unix teams, schedulers (TWS/IWS), and application teams.
- Support batch schedules, deployments, and controlled releases across environments.
- Adhere to banking controls, SDLC, and change management processes.
- IBM DataStage (11.x preferred) – strong hands-on development experience.
- ETL / Data Warehousing concepts.
- UNIX / Shell scripting.
- SQL / PL-SQL.
- Strong understanding of data models and relational databases.
- DataStage Technical Expertise – Hands-on experience with:
- DataStage Parallel Jobs.
- Lookups, Change Capture, Transformer.
- Sequential File, Data Sets.
- Column Generator.
- Database connectors (e.g., Oracle / Teradata / DB2).
- Job parameterization, shared containers, and reusable components.
- Banking or Financial Services domain experience.
- Experience with production support and on-call rotations.
- Exposure to TWS / IWS scheduling.
- Experience with DataStage upgrades or migrations (e.g., 8.x ? 11.x).
- Knowledge of data reconciliation and audit controls.
- Strong analytical and problem-solving skills.
- Ability to work independently in a delivery environment.
- Good communication skills for stakeholder and offshore/onshore collaboration.
- Documentation and attention to detail (bank-grade).
If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often shortlisted within 48 hours.
ETL Developer employer: eTeam
As a leading global recruitment specialist, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. Located in the vibrant city of Manchester, we offer competitive pay rates, flexible work arrangements, and ample opportunities for professional growth within the dynamic banking sector. Join us to be part of a team that values your contributions and supports your career development in a meaningful way.
StudySmarter Expert Advice🤫
We think this is how you could land ETL Developer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like eTeam!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like ETL Developer at eTeam.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like eTeam.
✨Apply Directly through Our Website
When you find a suitable opening like ETL Developer at eTeam, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace ETL Developer
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at eTeam, 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 eTeam. 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 eTeam
✨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 eTeam!
✨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.
