Tech jobs
Job listings
Remote Lead Data Engineer — AI & Big Data Platforms
Fully remote Lead Data Engineer who designs and manages scalable data pipelines and cloud platforms powering AI and analytics initiatives. Day to day involves leading a team of data engineers, collaborating with data scientists, and driving data governance, quality, and security.
Data Engineering Lead
Leads a multidisciplinary data engineering team owning an enterprise data platform on Microsoft Azure and Microsoft Fabric — defining platform strategy, building batch and real-time AI-ready pipelines, and driving DataOps, CI/CD, governance and POPIA compliance.
Data Engineering Lead — Hybrid, Growth & Training
Lead a team of data engineers at Randstad Digital España, delivering scalable data pipelines while working hands-on with AWS, Airflow, Docker, and Snowflake. You'll design data architectures, oversee CI/CD and GitHub practices, and collaborate in an Agile, hybrid (office in Viladecans) setup with a training plan.
BI & Data Engineering Team Lead
Lead Lusha's BI & Data Engineering team (4-6 engineers) while staying ~30% hands-on, owning the BI platform end-to-end — from raw data to semantic layers and governed metrics used across Product, GTM, and Finance. Core stack includes modern data warehouses (Databricks/Snowflake), SQL, Python, and heavy use of GenAI/agentic tooling in the workflow.
Senior Data Engineer – NiFi, Kafka & Airflow Lead
Senior Data Engineer in Selangor, Malaysia, owning enterprise data lake modeling, ETL/ELT optimization, and scalable data warehousing built on NiFi, Airflow, Iceberg, and Kafka. The role mentors the team, collaborates with banking stakeholders, and guides architecture and deployment runbooks on a renewable contract.
Lead Data Engineer — Hybrid (Databricks, Airflow, dbt)
Lead Data Engineer at AZKAIT, an IT staffing firm, based in Mexico City on a hybrid schedule (3 office days / 2 remote) working 9:00–18:00 CST. Leads data engineering work using Databricks, Airflow, dbt, Python, SQL, and AWS, requiring 5+ years of experience and advanced English.
Data Engineer Lead — AI Integration
Senior data engineering lead delivering AI accelerator implementations in Snowflake for enterprise clients, starting with a US banking institution. Day to day: leading data architecture, building pipelines and integrations, and applying data governance using SQL, Python, dbt, Airflow, and cloud platforms.
Lead Data Engineer — AI & Snowflake Pipelines (Hybrid)
Lead Data Engineer at Forte Innovation Consulting to design Snowflake data pipelines, governance, and architecture for enterprise clients' Data + AI initiatives, leading data engineering on international projects. Core stack: SQL, Python, Snowflake, dbt, and Airflow, with collaboration across US-based teams.
Lead Data Engineer.
Lead Data Engineer for Azka IT Consulting, a Mexican IT staffing firm placing talent with LatAm/US clients. Leads data platform work using Databricks, Airflow, dbt, Python, SQL and AWS. Hybrid role (3 days on-site) in Mexico City, Monday–Friday 9:00–18:00 CST.
Senior Data Engineer — Lakehouse Pipelines Lead
Leads design and implementation of scalable batch and streaming data pipelines on AWS and Databricks, building Bronze-Silver-Gold lakehouse layers, enforcing data contracts, and driving data governance across teams. Core stack: Databricks, Spark, Delta Lake, Python, SQL. Hired via a Singapore recruitment firm.
Remote Lead Data Engineer: Architect Data Pipelines
Lead Data Engineer at Placements24 architecting and building robust data pipelines and cloud data infrastructure in a fully remote role. Day to day involves leading a team, working with Spark, Kafka and cloud data platforms, and mentoring junior engineers while driving data governance and security best practices.
Data Engineering & Analytics Lead: Build Scalable Pipelines
Lead role overseeing data strategy, engineering, and reporting at Datonomy Solutions in South Africa. Day to day: designing and maintaining reliable, scalable, cost-effective data pipelines, driving standardized reporting metrics, and providing technical leadership to a data team aligned with executive objectives and governance.
Data Engineering & Analytics Lead at Datonomy Solutions
Leads the organisation's data strategy, engineering function, and reporting capability: building and maintaining data pipelines and BI reporting, defining data architecture, managing cloud costs, and mentoring the data team. Core stack includes SQL, Microsoft Fabric, Azure, and SQL Server.
Lead Data Platform Engineer — Production‑Ready & AI
Playground Group, a Stockholm-area consultancy, seeks a lead data platform engineer to design, build, and own modern data platforms in production. The role leads architecture decisions, supports analytics, AI, and ML workloads at scale, and serves as the client-facing technical go-to while mentoring colleagues.
Lead Data Engineer: AWS Lakehouse & Real-Time Streaming
Lorien (Manchester) is hiring a hands-on Lead Data Engineer to own migration of the data platform to an AWS lakehouse and shape real-time streaming that cuts report latency from hours to minutes. The role leads architecture, code review and mentoring while partnering with data scientists, analysts and stakeholders; hybrid, 2 days/week in central Manchester.
Lead Data Engineer (SC Cleared) — AWS, Spark, Lakehouse
Lead Data Engineer at consulting firm Credera, splitting time between client delivery and internal projects: building cloud-native data platforms on AWS with Spark and Lakehouse architectures, covering pipelines, governance and Generative AI workloads, plus upskilling other engineers. Requires SC security clearance.
Senior GCP Data Engineer | AI-Powered Data Platform Lead
Senior GCP Data Engineer at Mpower Plus Global Ltd in Bristol (hybrid, 2 days onsite) designing and delivering cloud-native data solutions, leading AI-enabled data product development with dbt, Python and SQL, plus data quality, architecture and governance across a multidisciplinary team.
Lead Cloud-Scale Data Engineering & AI Pipelines
Lead cloud-scale data engineering programmes at Accenture UK & Ireland, building pipelines on Azure, Databricks, Snowflake and AWS. Day to day: drive AI-assisted ETL/ELT development, data quality and governance, observability architecture, and mentor engineering teams.
Senior Data Engineer AI-Driven Data Platform Lead (Hybrid)
Senior Data Engineer at Border to Coast Pensions Partnership, a regulated UK pension asset manager, leading the design, build and optimisation of data pipelines and platforms that power analytics, reporting and AI, while setting data governance and security standards and mentoring other data engineers.