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About Us Ascent has recently joined Acuity Analytics, bringing together deep industry expertise, technology and data capabilities to help organisations solve complex challenges and drive meaningful change. About the Role We’re looking for a Senior Data Engineer who wants to do more than build pipelines. You’ll help turn complex data into commercial, customer-facing products , combining strong Data Engineering skills with emerging AI and LLM technologies . Working across Databricks, Azure, Python and PySpark , you’ll build scalable data solutions, explore new AI capabilities and work directly with product and commercial teams to bring ideas into production. This is a hands-on role with plenty of ownership: approximately 60% engineering, 20% mentoring and 20% exploration and innovation . What You’ll Be Doing Build scalable data products and customer-facing data solutions. Develop production-ready pipelines using Databricks, Python, PySpark and SQL . Transform raw data into structured, enriched and commercially valuable datasets. Build and integrate APIs to expose data and power products. Apply LLMs, RAG and Generative AI to classification, enrichment, search and insight generation. Work with structured and unstructured data, embeddings and semantic search. Help evolve our Databricks and Azure data platform . Improve data quality, testing, observability and CI/CD. Partner with product and commercial teams to turn business opportunities into technical solutions. Mentor engineers and help shape our growing Data & AI capability. What We’re Looking For Strong commercial Data Engineering experience. Hands-on experience with Databricks . Advanced Python, PySpark and SQL . Strong experience building scalable data pipelines and data models . Experience with Azure or another major cloud platform. Experience building APIs and exposing data to applications or customers. Experience with data products or customer-facing data solutions . Exposure to Generative AI / LLMs and real-world AI use cases. Familiarity with RAG, embeddings, vector databases or semantic search . Strong communication skills and confidence working with technical, product and commercial stakeholders. A product mindset – you think about how data creates value , not just how it moves from A to B. Nice to Have Airbyte Terraform Azure OpenAI LangChain / LlamaIndex Recommendation engines A/B testing or experimentation AI governance Life sciences or pharmaceutical experience Why Join Us? You’ll have the opportunity to build products, not just infrastructure , shape how AI is used within real-world data solutions and have genuine influence over technical and product direction. You’ll work with a modern Data & AI stack, have space to explore new technologies and help build solutions that deliver measurable customer impact. Learn more about life at Acuity Analytics on our Working Here page.
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.