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Join us as a Data Engineer, PySpark Youll be the voice of our customers, using data to tell their stories and put them at the heart of all decision-makingWell look to you to drive the build of effortless, digital first customer experiencesIf youre ready for a new challenge and want to make a far-reaching impact through your work, this could be the opportunity youre looking forWe're offering this role at vice president level What you'll do As a Data Engineer, youll be looking to simplify our organisation by developing innovative data driven solutions through data pipelines, modelling and ETL design, inspiring to be commercially successful while keeping our customers, and the banks data, safe and secure. Youll 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. Youll 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 stagesEmbedding new data techniques into our business through role modelling, training, and experiment design oversightDelivering a clear understanding of data platform costs to meet your departments cost saving and income targetsSourcing new data using the most appropriate tooling for the situationDeveloping solutions for streaming data ingestion and transformations in line with our streaming strategy The skills you'll need To thrive in this role, youll need a strong understanding of data usage and dependencies and experience of extracting value and features from large scale data.You'll need at least twelve years of experience driving target architecture adoption across portfolios, with a strong focus on Model Monitoring, ensuring model performance, stability, data quality, and regulatory compliance throughout the model lifecycle. You'll need experience working closely with product, risk, and data teams to build scalable monitoring capabilities, establish common standards, governance frameworks, and reporting mechanisms across multiple models and portfolios. You'll need hands-on experience in software development and programming expertise, strong proficiency in PySpark, SQL, and data warehousing, deep knowledge of Spark optimization and performance tuning, and practical experience working in cloud environments, preferably AWS. You'll also need experience working with Agile teams, driving engineering best practices, mentoring team members, and guiding teams to deliver robust, high-quality data and monitoring solutions. Additionally, youll need: Experience of ETL technical design, data quality testing, cleansing and monitoring, data sourcing, and exploration and analysisData warehousing and data modelling capabilitiesA good understanding of modern code development practicesExperience of working in a governed, and regulatory environmentStrong communication skills with the ability to proactively engage and manage a wide range of stakeholders .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.