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Company Description Version 1 has celebrated 30 years in business and continues to be trusted by global brands to deliver technology and transformation solutions that drive customer success. Our deep expertise enables our customers to navigate the rapidly evolving technology landscape. We foster strong partnerships with global technology leaders including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. Were an award-winning employer reflecting how our employees are at the very heart of what we do: UK & Ireland's premier AWS, Microsoft & Oracle partner 3300+ strong, 350/300m revenue business 10+ years as a Great Place to Work in Ireland & UK Best Workplace for Women in the UK & Ireland by GPTW Best Workplace for Wellbeing in the UK by GPTW Were a core values driven company, we hire people who share our values, and we reward those who display and foster them, its deeply embedded within our DNA. Invest in us and well invest in you!. Job Description We are looking for a Data Tech Lead to join our Data Engineering practice, delivering modern data platforms for enterprise and regulated clients. This is a handson leadership role for a technically strong engineer who can lead design and delivery, act as a trusted technical authority, and mentor engineers while maintaining strong engineering discipline in realworld environments. This is a deliveryfocused role for an experienced engineer and Tech Lead who enjoys solving complex data challenges, takes ownership of outcomes, and applies strong engineering discipline in realworld environments. Leading endtoend delivery of data engineering workstreams; shaping solution approach, setting technical direction, and ensuring outcomes are delivered to a high standard Designing and building scalable batch and streaming pipelines and operating production systems Providing technical governance and oversight: design reviews, implementation guidance, risk/issue escalation, and delivery assurance Building strong stakeholder relationships and operating as a credible clientfacing technical lead Coaching and mentoring engineers, supporting learning plans, and helping develop capability standards and accelerators Partnering with business and technology stakeholders to build and enhance reliable, scalable data platforms Developing highthroughput, lowlatency data processing systems Working within the Databricks and Apache Spark ecosystem to support largescale data workloads Building and maintaining cloudnative data solutions on AWS Using dbt for data transformation, modelling, testing, and documentation Orchestrating data workflows using Airflow or similar orchestration tools Writing clean, efficient, and welltested code following software engineering best practices Collaborating closely with product, analytics, and platform teams Supporting production systems by troubleshooting issues and implementing continuous improvements Ensuring solutions are productionready: secure, tested, observable, and costefficient Optimising data performance, reliability, and data quality in live environments Qualifications 8-10 years experience in handson data engineering, including technical leadership on production platforms Experience providing technical governance (design reviews, standards, delivery assurance) and supporting delivery at pace Comfortable contributing to estimation and commercial discussions and ensuring solutions are feasible and deliverable Proven ability to mentor and help develop engineers through coaching, feedback, and structured development support Strong handson coding skills in Python, Java, or similar languages, with strong SQL capability Proven experience building and operating batch and streaming pipelines in production Experience with AWS, Databricks / Spark, and modern data architectures Handson experience using dbt for transformations and Airflow (or equivalent) for orchestration Solid understanding of data modelling, data quality, and production data systems Experience working with relational databases such as Postgres or SQL Server Familiarity with CI/CD pipelines, testing frameworks, and monitoring / observability tooling Nice to Have Experience enabling ML, AI, or GenAI workloads through strong data foundations Exposure to modern BI and analytics tooling Experience working in regulated or securityconscious environments Consulting or clientfacing delivery experience Addi .
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.