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BI & ETL Developer (Mid-Level)
LMW HR Group , on behalf of its client, a leading IT company collaborating with a Tier 1 Greek bank , is seeking a skilled BI & ETL Developer to join a dynamic software development team. The successful candidate will…
Google Big Data Platform Engineer II
Work Location: Toronto, Ontario, Canada Hours: 0 Line of Business: Technology Solutions Pay Details: $126,800 - $164,100 CAD This role is temporarily eligible for a pay premium above the posted salary range that is…
#4 Data Engineer Semi Senior - Feature Engineering - Databricks MUTT DATA 6h ago
Semi-senior Data Engineer at Mutt Data, a remote-first data/ML services startup, building and governing features (frequency, recency, amounts, delinquency) for a credit-score risk model on Databricks + Unity Catalog for a beverage-company client in Mexico City. Day to day: SQL/Python feature design, metadata and lineage governance, deployment pipeline and job monitoring.
Data Engineer, Semi-Senior — GCP, Airflow & BigQuery
Data engineer at AVIVA, a phygital bank in Mexico, building robust Python data pipelines on GCP using BigQuery, Cloud Run/Functions and Pub/Sub, orchestrating workflows with Airflow, and delivering end-to-end, scalable integrations with APIs and SQL/NoSQL stores with a focus on data quality and observability.
Backend Engineer — AI-Powered Data Platform
Mid-level backend engineer in Zurich building a new AI-powered data platform while core design decisions are still open. You own production systems end-to-end, shipping stateful backend services on SQL and NoSQL databases with a focus on reliability, scale, and first-principles reasoning.
Remote Azure SQL Data Engineer for Public Sector Impact
Mid-level data engineer working remotely (UK) to build a greenfield Azure SQL Data Warehouse for a public sector client at Swift Analytics. Day to day: designing, developing, and deploying data pipelines and warehouse structures using Microsoft Azure technologies alongside a Lead Data Architect.
Middle Data Engineer
Middle Data Engineer at GR8 Tech builds and maintains the data infrastructure behind its B2B iGaming platform: designing ingestion pipelines (Kafka/Kinesis), semantic and warehouse models (PostgreSQL, ClickHouse, BigQuery/Redshift), automated data-quality tests, REST APIs, and CI/CD with Docker, GitLab CI, and Terraform.
Data Engineer
Senior Databricks Data Engineer contract (£600/day, Inside IR35, initial 6 months) with 2-3 days on site in London. Building a Lakehouse platform using Medallion architecture, Delta Lake, Apache Airflow, dbt, PySpark, and Unity Catalog across AWS/Azure/GCP for a consultancy serving financial services clients.
Data Engineer Mid
Mid-level Data Engineer at Morris & Opazo, an AWS Premier Partner IT/cloud consulting firm. Day to day you design and maintain ETL/ELT pipelines, integrate data from databases, APIs and files, and build data warehouses, data lakes and lakehouses, mostly on AWS. Hybrid on-site work Monday to Friday in Peru.
Data Engineer Confirmé Databricks - Lyon (Hybrid)
Confirmed data engineer designing, developing and maintaining robust data pipelines on Databricks with a focus on data quality and security. Works in Agile mode with Data Analysts and Data Scientists in a Lakehouse and cloud ecosystem to support clients' strategic decisions. Hybrid role based in Lyon, France.
Data Engineer II
Designs, builds, tests and maintains reliable data solutions for LexisNexis Risk Solutions' insurance business, starting with data management work — profiling, validation, quality management and issue resolution — and growing into broader data engineering ownership. Uses technologies like SQL, Java/J2EE, JavaScript, C/C++, .NET and HPCC, with growing use of AI-assisted automation.
Data Platform Developer
Designs and builds event-driven data platforms for client projects: Kafka streaming (Kafka, Kafka Connect, Kafka Streams, kSQL), Java/Spring Boot microservices, GraphQL APIs on Quarkus/GraalVM backed by MongoDB, plus monitoring with Prometheus/Grafana/OpenTelemetry. B2B, remote with monthly office meetings in Wrocław.
Data Engineer
Build and maintain data pipelines and data products on a modern Databricks platform (PySpark, Delta Lake, Unity Catalog, Azure) supporting reporting, analytics and AI solutions. Hybrid role (70/30) in Katowice for Vaillant Group's shared services IT team.
Data Engineer II - Snowflake and DBT
Data Engineer II at First Citizens India's Bengaluru GCC (hybrid) designing and building ETL/ELT pipelines for the bank's enterprise data warehouse, which supports regulatory reporting, finance, risk, and Customer 360. Core stack: Snowflake, DBT, AWS (S3, Lambda, Glue), Python, SQL, and Airflow.
Senior Data Engineer (w/m/d)
Du denkst Data Engineering ganzheitlich – von Infrastruktur über Pipelines bis zur Plattform-Architektur? Du möchtest nicht nur bestehende Systeme betreiben, sondern aktiv eine moderne Data Platform aufbauen? Dann bist…
Data Engineer Semi-Senior — Cloud & Data Quality Impact
Semi-senior data engineer at AVIVA, a Mexican 'phygital' digital bank, leading data pipeline development and data governance using Python, GCP, and dbt, with emphasis on data quality, IAM security, and observability to power financial products for millions of users.
Data Engineer (Semi-Senior) – Cloud Data Orchestrator
Data Engineer (semi-senior) at AVIVA, a 'phygital' bank being built in Mexico: designs and maintains complex data pipelines supporting real-time and batch decision-making, working mainly with Python, GCP and data storage tools, within a team focused on observability, security and operational efficiency.
Data Engineer · Semi Senior
Semi-senior data engineer at AVIVA, a Mexico City fintech building a 'phygital' digital bank. Day to day you build batch and incremental pipelines on GCP using Python, Apache Airflow, BigQuery, Cloud Storage, Cloud Run/Functions and Pub/Sub, with data quality, observability, CI/CD and dbt support.
Remote Mid-Level Data Engineer: Spark & Databricks
Mid-level remote data engineer on a Sigma Software team building cloud-native data platforms: developing and optimizing ETL/ELT pipelines, data models, and architectures using Databricks, Apache Spark, Snowflake, and AWS to enable analytics and BI.