22 of 22 Snowflake Jobs in the Midlands

clients, are now looking for a hands-on Data Engineer to join their talented delivery team. This is a fantastic opportunity to work with a modern data stack - including Snowflake , dbt , AWS , Python , and SQL - on impactful projects that power reporting, automation, predictive analytics and Artificial Intelligence. This role is fully remote, and is therefore open to candidates across the … who wants to be part of company that is growing and maturing whilst continually learning. Key responsibilities: Designing and building robust data pipelines using SQL, dbt, and Python within Snowflake Developing scalable, testable, and maintainable code Collaborating with analytics, product, and client teams to deliver high-quality data solutions Supporting the development of data products like dashboards, APIs, and predictive … and operational efficiency through data tooling Contributing to internal best practices and agile delivery processes Experience required: Proven experience as a Data Engineer or Analytics Engineer Strong experience with Snowflake Hands-on experience with dbt Proficiency in Python and SQL Solid understanding of Git and development lifecycle best practices Experience integrating APIs or working with event/log data streams More ❯

clients, are now looking for a hands-on Data Engineer to join their talented delivery team. This is a fantastic opportunity to work with a modern data stack - including Snowflake , dbt , AWS , Python , and SQL - on impactful projects that power reporting, automation, predictive analytics and Artificial Intelligence. This role is fully remote, and is therefore open to candidates across the … who wants to be part of company that is growing and maturing whilst continually learning. Key responsibilities: Designing and building robust data pipelines using SQL, dbt, and Python within Snowflake Developing scalable, testable, and maintainable code Collaborating with analytics, product, and client teams to deliver high-quality data solutions Supporting the development of data products like dashboards, APIs, and predictive … and operational efficiency through data tooling Contributing to internal best practices and agile delivery processes Experience required: Proven experience as a Data Engineer or Analytics Engineer Strong experience with Snowflake Hands-on experience with dbt Proficiency in Python and SQL Solid understanding of Git and development lifecycle best practices Experience integrating APIs or working with event/log data streams More ❯

of SQL and relational databases. NoSQL databases is also desirable. Solid experience of at least one Cloud provider such as AWS, Azure or GCP. Solid experience of working with Snowflake and dbt. Strong experience of working with different data formats, e.g., CSV, JSON and XML Building reliable Data Pipelines Experience in Data Modelling is highly desirable. Broader knowledge of IT More ❯

Proficiency in SQL and data modelling techniques. Strong analytical and problem-solving skills with an ability to work in agile development environment independently. Experience with data warehouse platforms (e.g., Snowflake, Azure Synapse, Redshift, BigQuery, or similar). Ability to work independently and manage multiple projects simultaneously. Excellent communication and collaboration skills. THE BENEFITS As a Data Warehouse Engineer , you will More ❯

full potential. Liaise with stakeholders to shape clear, actionable data requirements - even when things are complex or incomplete. What You'll Bring Strong hands-on expertise in DBT, SQL, Snowflake , and orchestration tools like Airflow. Experience with Azure Data Factory and visualisation tools such as Power BI. Deep knowledge of agile data development methodologies and best practices. A passion for More ❯

SQL Solid AWS experience (Glue, Lambda, SQS, S3, etc.) Experience designing/building/maintaining ETL pipelines Data modelling experience to forecast and analyse Data warehousing knowledge (PostgreSQL, Redshift, Snowflake etc.) Self-starter mindset, you’ll get stuck in and find answers independently to bring back to the team A drive to want to own projects and put forwards ideas More ❯

Expertise: A solid understanding of data warehousing concepts, ETL/ELT processes, data modeling, and various database technologies (e.g., SQL, and cloud data platforms like AWS Redshift, Google BigQuery, Snowflake). Strong Technical Acumen: The ability to grasp complex technical details and articulate them clearly to non-technical stakeholders. While not a hands-on coding role, a firm understanding of More ❯

Java programming, including concurrency and memory management. Strong RDBMS knowledge. Experience developing distributed, microservices-based applications. Data modeling and curation for large-scale datasets. Cloud technologies, including AWS S3, Snowflake, etc., involved in building next-generation finance systems. Preferred Qualifications Interest or knowledge in investment banking or financial instruments. Experience with big data concepts, such as Hadoop for Data Lake. More ❯

the next generation of finance systems onto the cloud platforms, one of the key strategies for the division in which you'll get exposure to technologies like AWS S3,Snowflake, EMR etc. Autonomy: You'll have significant autonomy in designing and writing solutions to help our stakeholders deliver for the firm's clients. Creativity: You'll be encouraged to suggest More ❯

the next generation of finance systems onto the cloud platforms, one of the key strategies for the division in which you'll get exposure to technologies like AWS S3,Snowflake, EMR etc. Autonomy: You'll have significant autonomy in designing and writing solutions to help our stakeholders deliver for the firm's clients. Creativity: You'll be encouraged to suggest More ❯

to a culture of technical excellence Requirements: Proven experience in a Lead or Senior Data Engineering role Strong hands-on expertise with AWS (Glue, Lambda, S3) Deep experience with Snowflake as a data warehouse. Proficiency in Python or Scala for data processing Excellent communication and stakeholder management skills Preferably some experience with Terraform and dbt (although these are not essential More ❯

visualization tools, such as Tableau. • Utilize web development technologies to facilitate application development for front end UI used for risk management actions • Develop software for calculations using databases like Snowflake, Sybase IQ and distributed HDFS systems. • Interact with business users for resolving issues with applications. • Design and support batch processes using scheduling infrastructure for calculation and distributing data to other More ❯

Data Solution Designer you should have: Experience Designing and Maintaining Data warehouse in big data solutions on Cloud and on Premises. Experience and knowledge of cloud platforms such as Snowflake, AWS (S3, Glue, EC2, Athena), Databricks and DBT . This includes hands-on knowledge of cloud-based data storage, processing, and analytics solutions. Good understanding of business processes. Strong analytical More ❯

T-SQL, indexing, relational/dimensional modelling, data dashboards. Building/optimising data pipelines and integrations across cloud platforms. Any cloud platforms experience would be helpful including: such as Snowflake, Databricks, BigQuery, Azure SQL. Working closely with key stakeholders including data architects, analysts, testers and managers. Working across the full SQL development life-cycle including: design, development, documentation and testing. More ❯

architects, engineers, and stakeholders to build integrated, evidence-based solutions. Required experience: Strong knowledge of AWS Cloud Architecture Proven experience in AWS Data Engineering, including tools such as Python, Snowflake & Terraform. Previous experience working with Data Warehousing, Data Lakes or Data Meshes. Experience with logging tools such as Splunk or Elastic) Experience with databases such as NoSQL or SQL. Benefits More ❯

efforts with detailed recommendations. Establish and maintain data governance practices to ensure data quality and security. Identify opportunities to integrate and streamline data using tools like Google BigQuery and Snowflake New Business Development Provide insights and data support for new business pitches and case study development. Collaborate with teams to analyse user behaviour and campaign performance for prospective clients. About More ❯

Accountable, Collaborative, and Excellent. What you'll need to succeed Strong proficiency in SQL, Excel, Power BI, and DAX is essential. Experience with cloud-based data platforms such as Snowflake or DataBricks is preferred. Expertise in T-SQL to write complex queries and stored procedures. Understanding of database optimisation, data mining, auditing, and segmentation. Skilled in data visualisation and statistical More ❯

Managing pricing and rebates shouldn't be a hassle. Enable's intelligent platform is built for the speed of today's market, eliminating disconnects between pricing strategy and rebate execution. We help companies to increase profitability and simplify the complex More ❯

PyTorch) Advanced SQL AWS MLOps tooling (e.g., MLflow, SageMaker, or similar) Bonus Points For: Knowledge of LLMs, RAG pipelines, prompt engineering, or agentic interfaces Experience with data warehouse tools (Snowflake, Redshift, BigQuery) Familiarity with search, matching, or recommendation systems Soft Skills: Independent, highly communicative, and comfortable working directly with senior leadership and commercial stakeholders Interview Process Screening conversation with hiring More ❯

your stakeholder relationships - you also break down jargon to fit your audience needs You're excited about getting into the details of technology & automation solutions Any knowledge of Salesforce, Snowflake, G Suite, Google App Script, Excel programming, and Robotic Process Automation (RPA) would be desirable (not essential) Any knowledge of AWS would be desirable (not essential) Where and how you More ❯

thinking across the organisation Ensure data governance, quality, and security best practices are in place Utilising the AWS tech stack including S3, Lambda, Redshift, Airflow Preferably some experience with Snowflake although this is not essential This is a hands-on leadership role - ideal for someone who enjoys both strategic thinking and technical delivery. Benefits: Hybrid: 3 days a week in More ❯

Version 1 has celebrated over 26+ years in Technology Services and continues to be trusted by global brands to deliver solutions that drive customer success. Version 1 has several strategic technology partners including Microsoft, AWS, Oracle, Red Hat, OutSystems and More ❯