Azure Synapse Analytics

Open jobs

579

Companies looking for Synapse

531

Back in the day, data warehousing meant monolithic beasts and ETL pipelines that resembled spaghetti junction. Then came the cloud, and suddenly everyone needed a “limitless” analytics service. Azure Synapse Analytics arrived as Microsoft’s attempt to unify data integration, data warehousing, and big data analytics – a noble goal, if a little ambitious. It’s essentially the lovechild of Azure SQL Data Warehouse and Azure Data Lake Analytics, promising a single platform for all your data needs.

The reality? It’s powerful, certainly, but requires a significant investment in learning and configuration. While it can handle everything, mastering the various compute engines—Spark, SQL pools, data flows—feels like becoming fluent in several programming languages simultaneously. Competitors like Snowflake offer a simpler, more managed experience, though at a cost. Synapse is gaining traction with enterprises already heavily invested in the Microsoft ecosystem, but convincing anyone else to jump ship requires demonstrating tangible benefits beyond just checking all the boxes.

Used together with Synapse

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Jobs (this month)

579

Companies with Jobs

531

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London

Paris

New York

Berlin

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using Azure Synapse Analytics for

All job types

Analytics Engineers

Data Engineers

Analysts

Data Scientists

Machine Learning Engineers

Others

but please no

Agile/Scrum

JIRA

Activity Schema

Adobe Analytics

Agile/Scrum

Artificial Intelligence/Machine Learning

Airbyte

Apache Airflow

Alation

Alteryx

Amplitude

Analytics

Analytics Engineering

Ansible

Apache Flink

Application Programming Interface (API)

AppDynamics

Redpanda

Webhooks

Argo CD

Apache Arrow

Astronomer

Amazon Athena

Apache Avro

Amazon Web Services (AWS)

Amazon Aurora

AWS CloudFormation

Amazon CloudWatch

Amazon EC2

Amazon EMR

AWS Glue

Amazon Kinesis

AWS Lambda

Amazon RDS

Microsoft Azure

Azure Data Factory

Azure DevOps

Bash

Apache Beam

Business Intelligence (BI)

Big Data

BigEye

Google BigQuery

Blendo

Blockchain

C

C#/.NET

Apache Cassandra

Cyber Security

Certified Cloud Security Professional (CCSP)

Certified Information Systems Security Professional (CISSP)

FinOps

Customer Data Platform (CDP)

Chef

Chroma

Continuous Integration/Continuous Delivery (CI/CD)

Circle CI

ClickHouse

Cloud Computing

Cloud Storage

Cloudflare

Azure Cosmos DB

Collibra

IBM Cognos

Computer Science

Confluence

C++

Customer Relationship Management (CRM)

Comma-Separated Values (CSV)

Cypress

Dagster

Dashboard

Data Analytics

Data Contracts

Data Engineering

Data Governance

Data Lake

Data Lakehouse

Data Management

Data Modelling

Data Quality

Data Science

Data Vault

Data Visualization

Databricks

Datacoral

Datadog

Google Cloud Dataflow

Datafold

Google Dataform

Dataiku

DataOps

Google Cloud Dataproc

Data Analysis Expressions (DAX)

dbt (data build tool)

Delta Lake

DevOps

Docker

Dremio

DuckDB

Data Warehouse

DynamoDB

Dynatrace

Elasticsearch/ELK Stack

Enterprise Resource Planning (ERP)

ETL/ELT

Ethereum

Binance

Non-Fungible Tokens (NFT)

Geographic Information System (GIS)

Decentralized Finance (DeFi)

Smart Contracts

Chainalysis

Web3

Microsoft Excel

Feather

Fivetran

Funnel

Google Cloud Platform (GCP)

GDPR/CCPA

Generative AI

Git

GitHub

GitLab

Go

Google Analytics

Google Cloud Composer

Google Cloud Data Fusion

Google Cloud Functions

Google Cloud Run

Google Sheets

Grafana

Google Tag Manager (GTM)

Apache Hadoop

Apache HBase

Hierarchical Data Format

Hadoop Distributed File System (HDFS)

Heap Analytics

Hevo Data

Apache Hive

HyperText Markup Language (HTML)

Hubspot

Hyper-V

IBM

Apache Iceberg

Informatica

Data Collection

Internet of Things (IoT)

Java

JavaScript

Jenkins

Jira

JavaScript Object Notation (JSON)

JSON Schema

Apache Kafka

Keras

Kibana

(Kimball) Dimensional Modeling

Kissmetrics

Key Performance Indicator (KPI)

Kubernetes

Linux

Large Language Models (LLM)

Logstash

Looker

Looker Studio

Luigi

Management

MariaDB

Marketing

Marketing Mix Modeling (MMM)

Master Data Management

Masthead Data

Matillion

MATLAB

Matomo

Matplotlib

Modern Data Stack

Meltano

Mendix

Metabase

Microsoft

Microsoft Fabric

Mixpanel

MLOps

Mode Analytics

MongoDB

Monte Carlo

MySQL

IBM Netezza

Neo4j

New Relic

Natural Language Processing (NLP)

NoSQL

NumPy

Opsgenie

Oracle

Optimized Row Columnar (ORC)

PagerDuty

Pandas

Apache Parquet

Pendo

Doctor of Philosophy (PhD)

Pinecone

Piwik PRO

Plausible Analytics

Playwright

Plotly

Polars

PostgreSQL

Microsoft Power BI

Microsoft PowerPoint

PowerShell

Prefect

Presto

Process Mining

Prometheus

Protocol Buffers

Pub/Sub

Pulumi

Puppet

Puppeteer

Pydantic

PySpark

Python

PyTorch

Qlik

Amazon QuickSight

R (Language)

Retrieval Augmented Generation (RAG)

Relational Database Management System (RDBMS)

React

Redash

Redis

Amazon Redshift

Recurrent Neural Networks

Rust

Amazon S3

Software as a Service (SaaS)

Amazon SageMaker

SAP

SAS

Scala

Scikit-learn

SciPy

Seaborn

Twilio Segment

Selenium

Singer

Sisense

Snowflake

Snowplow

Apache Spark

Splunk

SPSS

Structured Query Language (SQL)

SQLMesh

SQLFluff

SQLFmt

Microsoft SQL Server

SQL Server Analysis Services (SSAS)

SQL Server Integration Services (SSIS)

SQL Server Reporting Services

Stitch

Data Streaming

Supermetrics

Apache Superset

Azure Synapse Analytics

TIBCO Spotfire

Tableau

Talend

TensorFlow

Teradata

Bicep

Infrastructure as Code (IaC)

Azure Resource Manager (ARM)

Terraform

Terragrunt

Third Normal Form (3NF)

TOML

Trifacta

Apache Trino

Apache Druid

TypeScript

Unix

Visual Basic for Applications (VBA)

Vector DB

Vertica

VirtualBox

Virtual Machine

VMware

Microsoft Word

Extensible Markup Language (XML)

Xplenty

Yet Another Markup Language (YAML)

Motherduck

PostHog

Kestra

Omni Analytics

Thoughtspot

Lightdash

Hudi

Open Table Format (OTF)

Lance

analytics engineer Ingénieur Data & Information Protection Microsoft (H/F) @ devoteam-cyber-trust FR \| 2025-12-27 Devoteam’s Microsoft-centric Data & Information Protection Engineer role is a governance and security engineer with a data tilt. It expects you to own data governance, GDPR/CCPA compliance, and... read more »	Cloud Computing, AI/ML, AWS, Microsoft, Fabric, GDPR/CCPA, Azure, Data Lakehouse, Power BI, Databricks, SQL, Synapse, ADF, Snowflake, SAP, GitLab	Ingénieur Data & Information Protection Microsoft (H/F) devoteam-cyber-trust (FR) FULL TIME \| JOB LISTED Devoteam’s Microsoft-centric Data & Information Protection Engineer role is a governance and security engineer with a data tilt. It expects you to own data governance, GDPR/CCPA compliance, and detection/response workflows, while deploying secure data pipelines and data protection controls. The tech stack is firmly Microsoft: Purview, Entra ID, Defender suite, Fabric, Azure Synapse, Data Factory, Data Lake, SQL Server, and KQL— with scripting via PowerShell and Azure CLI. Requirements skew senior: Bac+5 plus about three years in cloud security and strong English. What makes it stand out is a clear path for Microsoft certifications and internal career mobility in a global consulting group; what’s worrying is the vendor-heavy flavor and the risk of role fragmentation across security, data, and architecture teams. It’s a well-defined niche for MS environments, less so for broader data engineering. Generated content Technology used Cloud Computing AI/ML AWS Microsoft Fabric GDPR/CCPA Azure Data Lakehouse Power BI Databricks SQL Synapse ADF Snowflake SAP GitLab Listed At 2025-12-27 2025-10-23 (original listing) Permalink View original posting
analytics engineer Product Owner/Business Analyst - EDW & Reporting Solutions-Supply Chain & Finance @ altera-fpga US \| 2025-12-27 \| USD 127400 - 184400 / year Senior EDW-focused Business Analyst / Product Owner, tasked with bridging business requirements and technical delivery for an enterprise data warehouse and reporting stack. The posting doubles as... read more »	DWH, Data Engineering, ETL/ELT, Data Quality, Management, Data Governance, BI, Data Modelling, Power BI, Tableau, Qlik, SQL, RDBMS, SQL Server, Oracle, ERP, Cloud Computing, Fabric, Databricks, Redshift, Synapse, BigQuery, Agile/Scrum, Jira, Confluence	Product Owner/Business Analyst - EDW & Reporting Solutions-Supply Chain & Finance altera-fpga (US) FULL TIME \| JOB LISTED Senior EDW-focused Business Analyst / Product Owner, tasked with bridging business requirements and technical delivery for an enterprise data warehouse and reporting stack. The posting doubles as two roles, which signals ambiguity over who actually owns the roadmap. Expect heavy requirements work, data modeling input, ETL design, data quality and governance, and frontline testing, plus liaison duties with business users and data engineering. Required tech reads like a checkbox: SQL, relational databases (SQL Server, Oracle), BI tools (Power BI, Tableau, Qlik), and cloud EDWs (Microsoft Fabric, Databricks, Redshift, Synapse, BigQuery); ERP system savvy is a plus. Jira/Confluence experience is prized, as is governance discipline. Bay Area pay of $127.4k–$184.4k reflects market reality but not senior-level intensity. The role stands out for its breadth of cloud platforms and governance focus, yet suffers from ambiguity and a marketing flourish around Altera’s FPGA hype. Generated content Technology used DWH Data Engineering ETL/ELT Data Quality Management Data Governance BI Data Modelling Power BI Tableau Qlik SQL RDBMS SQL Server Oracle ERP Cloud Computing Fabric Databricks Redshift Synapse BigQuery Agile/Scrum Jira Confluence Listed At 2025-12-27 2025-09-11 (original listing) Permalink View original posting
promoted Masthead Data Masthead is a data reliability platform built for Google Cloud, focused on detecting anomalies and ensuring smooth data pipeline operations. It offers real-time notifications for data issues and pipeline errors without direct access to your sensitive data.	Learn More
analytics engineer BI Developer - Rotterdam (S) @ sbmoffshore NL \| 2025-12-26 SBM Offshore seeks a Business Intelligence Developer capable of designing Power BI reports, developing data pipelines using Azure Data Platform, and supporting data-driven decision-making. The... read more »	Data Management, BI, Power BI, Azure, Agile/Scrum, DAX, Data Modelling, Data Engineering, Synapse, Data Lakehouse, PySpark, SQL, Azure DevOps, Computer Science, DWH	BI Developer - Rotterdam (S) sbmoffshore (NL) FULL TIME \| JOB LISTED SBM Offshore seeks a Business Intelligence Developer capable of designing Power BI reports, developing data pipelines using Azure Data Platform, and supporting data-driven decision-making. The role’s differentiator is its integration with Azure Synapse Analytics, promising cutting-edge tech in energy transition efforts. However, the risk lies in the dynamic nature of Azure technologies, which requires continuous learning. The position emphasizes stakeholder management and data modeling expertise, with an unspecified salary. Generated content Technology used Data Management BI Power BI Azure Agile/Scrum DAX Data Modelling Data Engineering Synapse Data Lakehouse PySpark SQL Azure DevOps Computer Science DWH Listed At 2025-12-26 2025-11-26 (original listing) Similar Jobs Loading... Permalink View original posting
analytics engineer 【1496】_TE_【東京勤務】Honda SDV開発におけるデータ基盤エンジニア／データサイエンティスト @ honda JP \| 2025-12-25 \| JPY 5900000 - 1090000 / year Honda is fervently pursuing its Software Defined Vehicle (SDV) initiative, seeking a data engineer to architect and construct a robust data foundation from their labyrinthine data source web.... read more »	AI/ML, ETL/ELT, Python, SQL, JavaScript, C, AWS, Redshift, AWS Glue, AWS Lambda, GCP, BigQuery, Dataflow, Azure, Synapse, Databricks, Docker, Kubernetes, Jenkins, GitHub, GitLab, Jira, Confluence, Tableau, Power BI, Superset, Pandas, TensorFlow, PyTorch, GenAI, R, CI/CD	【1496】_TE_【東京勤務】Honda SDV開発におけるデータ基盤エンジニア／データサイエンティスト honda (JP) FULL TIME \| JOB LISTED Honda is fervently pursuing its Software Defined Vehicle (SDV) initiative, seeking a data engineer to architect and construct a robust data foundation from their labyrinthine data source web. Candidates should be adept in SQL, Python, and various cloud platforms like AWS and GCP, while also having a handle on machine learning tools. The role does promise a substantial impact on both development efficiency and customer experience, but don’t mistake this as a stroll in the park; expect to juggle multiple technologies and drive organisational change amidst a corporate behemoth. While the prospect of working with generative AI may sound enticing, one must wonder if this is a genuine leap forward or simply another case of riding the tech hype wave. Still, for self-starters wanting to disrupt the status quo, opportunities abound. Generated content Technology used AI/ML ETL/ELT Python SQL JavaScript C AWS Redshift AWS Glue AWS Lambda GCP BigQuery Dataflow Azure Synapse Databricks Docker Kubernetes Jenkins GitHub GitLab Jira Confluence Tableau Power BI Superset Pandas TensorFlow PyTorch GenAI R CI/CD Listed At 2025-12-25 2025-10-21 (original listing) Similar Jobs Loading... Permalink View original posting
analytics engineer Consultant Data Modeling - F/H @ onepoint FR \| 2025-12-23 Onepoint seeks a seasoned data modeler with at least four years of experience, tasked with designing and optimizing data architectures across various cloud platforms and solutions. Their... read more »	AI/ML, Data Management, Data Analytics, Data Science, Data Modelling, DWH, Data Lake, Data Lakehouse, FinOps, Cloud Computing, Azure, AWS, GCP, Databricks, Snowflake, Synapse, BigQuery, Data Engineering, Data Vault, SQL, Agile/Scrum, Management

analytics engineer Ingénieur Data & Information Protection Microsoft (H/F) @ devoteam-cyber-trust FR \| 2025-12-27 Devoteam’s Microsoft-centric Data & Information Protection Engineer role is a governance and security engineer with a data tilt. It expects you to own data governance, GDPR/CCPA compliance, and... read more »	Cloud Computing, AI/ML, AWS, Microsoft, Fabric, GDPR/CCPA, Azure, Data Lakehouse, Power BI, Databricks, SQL, Synapse, ADF, Snowflake, SAP, GitLab	Ingénieur Data & Information Protection Microsoft (H/F) devoteam-cyber-trust (FR) FULL TIME \| JOB LISTED Devoteam’s Microsoft-centric Data & Information Protection Engineer role is a governance and security engineer with a data tilt. It expects you to own data governance, GDPR/CCPA compliance, and detection/response workflows, while deploying secure data pipelines and data protection controls. The tech stack is firmly Microsoft: Purview, Entra ID, Defender suite, Fabric, Azure Synapse, Data Factory, Data Lake, SQL Server, and KQL— with scripting via PowerShell and Azure CLI. Requirements skew senior: Bac+5 plus about three years in cloud security and strong English. What makes it stand out is a clear path for Microsoft certifications and internal career mobility in a global consulting group; what’s worrying is the vendor-heavy flavor and the risk of role fragmentation across security, data, and architecture teams. It’s a well-defined niche for MS environments, less so for broader data engineering. Generated content Technology used Cloud Computing AI/ML AWS Microsoft Fabric GDPR/CCPA Azure Data Lakehouse Power BI Databricks SQL Synapse ADF Snowflake SAP GitLab Listed At 2025-12-27 2025-10-23 (original listing) Permalink View original posting
analytics engineer Product Owner/Business Analyst - EDW & Reporting Solutions-Supply Chain & Finance @ altera-fpga US \| 2025-12-27 \| USD 127400 - 184400 / year Senior EDW-focused Business Analyst / Product Owner, tasked with bridging business requirements and technical delivery for an enterprise data warehouse and reporting stack. The posting doubles as... read more »	DWH, Data Engineering, ETL/ELT, Data Quality, Management, Data Governance, BI, Data Modelling, Power BI, Tableau, Qlik, SQL, RDBMS, SQL Server, Oracle, ERP, Cloud Computing, Fabric, Databricks, Redshift, Synapse, BigQuery, Agile/Scrum, Jira, Confluence	Product Owner/Business Analyst - EDW & Reporting Solutions-Supply Chain & Finance altera-fpga (US) FULL TIME \| JOB LISTED Senior EDW-focused Business Analyst / Product Owner, tasked with bridging business requirements and technical delivery for an enterprise data warehouse and reporting stack. The posting doubles as two roles, which signals ambiguity over who actually owns the roadmap. Expect heavy requirements work, data modeling input, ETL design, data quality and governance, and frontline testing, plus liaison duties with business users and data engineering. Required tech reads like a checkbox: SQL, relational databases (SQL Server, Oracle), BI tools (Power BI, Tableau, Qlik), and cloud EDWs (Microsoft Fabric, Databricks, Redshift, Synapse, BigQuery); ERP system savvy is a plus. Jira/Confluence experience is prized, as is governance discipline. Bay Area pay of $127.4k–$184.4k reflects market reality but not senior-level intensity. The role stands out for its breadth of cloud platforms and governance focus, yet suffers from ambiguity and a marketing flourish around Altera’s FPGA hype. Generated content Technology used DWH Data Engineering ETL/ELT Data Quality Management Data Governance BI Data Modelling Power BI Tableau Qlik SQL RDBMS SQL Server Oracle ERP Cloud Computing Fabric Databricks Redshift Synapse BigQuery Agile/Scrum Jira Confluence Listed At 2025-12-27 2025-09-11 (original listing) Permalink View original posting
promoted Masthead Data Masthead is a data reliability platform built for Google Cloud, focused on detecting anomalies and ensuring smooth data pipeline operations. It offers real-time notifications for data issues and pipeline errors without direct access to your sensitive data.	Learn More
analytics engineer BI Developer - Rotterdam (S) @ sbmoffshore NL \| 2025-12-26 SBM Offshore seeks a Business Intelligence Developer capable of designing Power BI reports, developing data pipelines using Azure Data Platform, and supporting data-driven decision-making. The... read more »	Data Management, BI, Power BI, Azure, Agile/Scrum, DAX, Data Modelling, Data Engineering, Synapse, Data Lakehouse, PySpark, SQL, Azure DevOps, Computer Science, DWH	BI Developer - Rotterdam (S) sbmoffshore (NL) FULL TIME \| JOB LISTED SBM Offshore seeks a Business Intelligence Developer capable of designing Power BI reports, developing data pipelines using Azure Data Platform, and supporting data-driven decision-making. The role’s differentiator is its integration with Azure Synapse Analytics, promising cutting-edge tech in energy transition efforts. However, the risk lies in the dynamic nature of Azure technologies, which requires continuous learning. The position emphasizes stakeholder management and data modeling expertise, with an unspecified salary. Generated content Technology used Data Management BI Power BI Azure Agile/Scrum DAX Data Modelling Data Engineering Synapse Data Lakehouse PySpark SQL Azure DevOps Computer Science DWH Listed At 2025-12-26 2025-11-26 (original listing) Similar Jobs Loading... Permalink View original posting
analytics engineer 【1496】_TE_【東京勤務】Honda SDV開発におけるデータ基盤エンジニア／データサイエンティスト @ honda JP \| 2025-12-25 \| JPY 5900000 - 1090000 / year Honda is fervently pursuing its Software Defined Vehicle (SDV) initiative, seeking a data engineer to architect and construct a robust data foundation from their labyrinthine data source web.... read more »	AI/ML, ETL/ELT, Python, SQL, JavaScript, C, AWS, Redshift, AWS Glue, AWS Lambda, GCP, BigQuery, Dataflow, Azure, Synapse, Databricks, Docker, Kubernetes, Jenkins, GitHub, GitLab, Jira, Confluence, Tableau, Power BI, Superset, Pandas, TensorFlow, PyTorch, GenAI, R, CI/CD	【1496】_TE_【東京勤務】Honda SDV開発におけるデータ基盤エンジニア／データサイエンティスト honda (JP) FULL TIME \| JOB LISTED Honda is fervently pursuing its Software Defined Vehicle (SDV) initiative, seeking a data engineer to architect and construct a robust data foundation from their labyrinthine data source web. Candidates should be adept in SQL, Python, and various cloud platforms like AWS and GCP, while also having a handle on machine learning tools. The role does promise a substantial impact on both development efficiency and customer experience, but don’t mistake this as a stroll in the park; expect to juggle multiple technologies and drive organisational change amidst a corporate behemoth. While the prospect of working with generative AI may sound enticing, one must wonder if this is a genuine leap forward or simply another case of riding the tech hype wave. Still, for self-starters wanting to disrupt the status quo, opportunities abound. Generated content Technology used AI/ML ETL/ELT Python SQL JavaScript C AWS Redshift AWS Glue AWS Lambda GCP BigQuery Dataflow Azure Synapse Databricks Docker Kubernetes Jenkins GitHub GitLab Jira Confluence Tableau Power BI Superset Pandas TensorFlow PyTorch GenAI R CI/CD Listed At 2025-12-25 2025-10-21 (original listing) Similar Jobs Loading... Permalink View original posting
analytics engineer Consultant Data Modeling - F/H @ onepoint FR \| 2025-12-23 Onepoint seeks a seasoned data modeler with at least four years of experience, tasked with designing and optimizing data architectures across various cloud platforms and solutions. Their... read more »	AI/ML, Data Management, Data Analytics, Data Science, Data Modelling, DWH, Data Lake, Data Lakehouse, FinOps, Cloud Computing, Azure, AWS, GCP, Databricks, Snowflake, Synapse, BigQuery, Data Engineering, Data Vault, SQL, Agile/Scrum, Management

Open jobs

Companies looking for Synapse

Used together with Synapse

Additional Resources

Jobs (this month)

Companies with Jobs

Ingénieur Data & Information Protection Microsoft (H/F) @ devoteam-cyber-trust

Product Owner/Business Analyst - EDW & Reporting Solutions-Supply Chain & Finance @ altera-fpga

Masthead Data

BI Developer - Rotterdam (S) @ sbmoffshore

【1496】_TE_【東京勤務】Honda SDV開発におけるデータ基盤エンジニア／データサイエンティスト @ honda

Consultant Data Modeling - F/H @ onepoint